diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2023-02-13 05:19:08 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2023-02-13 05:19:08 +0100 |
| commit | 8d1a84ac2190538ed3bac53a303064e281595868 (patch) | |
| tree | acb894d85ab7ec87c4911c355a5264a77e08e34b /docs/reference/saem.html | |
| parent | 51d63256a7b3020ee11931d61b4db97b9ded02c0 (diff) | |
| parent | 4200e566ad2600f56bc3987669aeab88582139eb (diff) | |
Merge branch 'main' into custom_lsoda_call
Diffstat (limited to 'docs/reference/saem.html')
| -rw-r--r-- | docs/reference/saem.html | 612 |
1 files changed, 343 insertions, 269 deletions
diff --git a/docs/reference/saem.html b/docs/reference/saem.html index 1bc6308e..957c098e 100644 --- a/docs/reference/saem.html +++ b/docs/reference/saem.html @@ -19,7 +19,7 @@ Expectation Maximisation algorithm (SAEM)."><!-- mathjax --><script src="https:/ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.2</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.1</span> </span> </div> @@ -46,19 +46,25 @@ Expectation Maximisation algorithm (SAEM)."><!-- mathjax --><script src="https:/ <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a> </li> <li> - <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a> </li> <li> <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a> </li> <li> + <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> + </li> + <li> <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a> </li> <li> <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a> </li> <li> - <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> + <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a> + </li> + <li> + <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a> </li> </ul></li> <li> @@ -97,14 +103,20 @@ Expectation Maximisation algorithm (SAEM).</p> <span><span class="fu">saem</span><span class="op">(</span></span> <span> <span class="va">object</span>,</span> <span> transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,</span> +<span> error_model <span class="op">=</span> <span class="st">"auto"</span>,</span> <span> degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,</span> <span> test_log_parms <span class="op">=</span> <span class="cn">TRUE</span>,</span> <span> conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span> <span> solution_type <span class="op">=</span> <span class="st">"auto"</span>,</span> +<span> covariance.model <span class="op">=</span> <span class="st">"auto"</span>,</span> +<span> omega.init <span class="op">=</span> <span class="st">"auto"</span>,</span> +<span> covariates <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> covariate_models <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> no_random_effect <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> error.init <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span><span class="op">)</span>,</span> <span> nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">300</span>, <span class="fl">100</span><span class="op">)</span>,</span> <span> control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>displayProgress <span class="op">=</span> <span class="cn">FALSE</span>, print <span class="op">=</span> <span class="cn">FALSE</span>, nbiter.saemix <span class="op">=</span> <span class="va">nbiter.saemix</span>,</span> <span> save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span> -<span> fail_with_errors <span class="op">=</span> <span class="cn">TRUE</span>,</span> <span> verbose <span class="op">=</span> <span class="cn">FALSE</span>,</span> <span> quiet <span class="op">=</span> <span class="cn">FALSE</span>,</span> <span> <span class="va">...</span></span> @@ -117,14 +129,24 @@ Expectation Maximisation algorithm (SAEM).</p> <span> <span class="va">object</span>,</span> <span> solution_type <span class="op">=</span> <span class="st">"auto"</span>,</span> <span> transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,</span> +<span> error_model <span class="op">=</span> <span class="st">"auto"</span>,</span> <span> degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,</span> +<span> covariance.model <span class="op">=</span> <span class="st">"auto"</span>,</span> +<span> no_random_effect <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> omega.init <span class="op">=</span> <span class="st">"auto"</span>,</span> +<span> covariates <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> covariate_models <span class="op">=</span> <span class="cn">NULL</span>,</span> +<span> error.init <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,</span> <span> test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span> <span> conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span> <span> verbose <span class="op">=</span> <span class="cn">FALSE</span>,</span> <span> <span class="va">...</span></span> <span><span class="op">)</span></span> <span></span> -<span><span class="fu">saemix_data</span><span class="op">(</span><span class="va">object</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div> +<span><span class="fu">saemix_data</span><span class="op">(</span><span class="va">object</span>, covariates <span class="op">=</span> <span class="cn">NULL</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span> +<span></span> +<span><span class="co"># S3 method for saem.mmkin</span></span> +<span><span class="fu"><a href="parms.html">parms</a></span><span class="op">(</span><span class="va">object</span>, ci <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div> </div> <div id="arguments"> @@ -146,6 +168,10 @@ SFO, FOMC, DFOP and HS without fixing <code>parent_0</code>, and SFO or DFOP wit one SFO metabolite.</p></dd> +<dt>error_model</dt> +<dd><p>Possibility to override the error model used in the mmkin object</p></dd> + + <dt>degparms_start</dt> <dd><p>Parameter values given as a named numeric vector will be used to override the starting values obtained from the 'mmkin' object.</p></dd> @@ -168,6 +194,43 @@ for parameter that are tested if requested by 'test_log_parms'.</p></dd> automatic choice is not desired</p></dd> +<dt>covariance.model</dt> +<dd><p>Will be passed to <code><a href="https://rdrr.io/pkg/saemix/man/saemixModel.html" class="external-link">saemix::saemixModel()</a></code>. Per +default, uncorrelated random effects are specified for all degradation +parameters.</p></dd> + + +<dt>omega.init</dt> +<dd><p>Will be passed to <code><a href="https://rdrr.io/pkg/saemix/man/saemixModel.html" class="external-link">saemix::saemixModel()</a></code>. If using +mkin transformations and the default covariance model with optionally +excluded random effects, the variances of the degradation parameters +are estimated using <a href="mean_degparms.html">mean_degparms</a>, with testing of untransformed +log parameters for significant difference from zero. If not using +mkin transformations or a custom covariance model, the default +initialisation of <a href="https://rdrr.io/pkg/saemix/man/saemixModel.html" class="external-link">saemix::saemixModel</a> is used for omega.init.</p></dd> + + +<dt>covariates</dt> +<dd><p>A data frame with covariate data for use in +'covariate_models', with dataset names as row names.</p></dd> + + +<dt>covariate_models</dt> +<dd><p>A list containing linear model formulas with one explanatory +variable, i.e. of the type 'parameter ~ covariate'. Covariates must be available +in the 'covariates' data frame.</p></dd> + + +<dt>no_random_effect</dt> +<dd><p>Character vector of degradation parameters for +which there should be no variability over the groups. Only used +if the covariance model is not explicitly specified.</p></dd> + + +<dt>error.init</dt> +<dd><p>Will be passed to <code><a href="https://rdrr.io/pkg/saemix/man/saemixModel.html" class="external-link">saemix::saemixModel()</a></code>.</p></dd> + + <dt>nbiter.saemix</dt> <dd><p>Convenience option to increase the number of iterations</p></dd> @@ -177,11 +240,6 @@ iterations</p></dd> <dd><p>Passed to <a href="https://rdrr.io/pkg/saemix/man/saemix.html" class="external-link">saemix::saemix</a>.</p></dd> -<dt>fail_with_errors</dt> -<dd><p>Should a failure to compute standard errors -from the inverse of the Fisher Information Matrix be a failure?</p></dd> - - <dt>verbose</dt> <dd><p>Should we print information about created objects of type <a href="https://rdrr.io/pkg/saemix/man/SaemixModel-class.html" class="external-link">saemix::SaemixModel</a> and <a href="https://rdrr.io/pkg/saemix/man/SaemixData-class.html" class="external-link">saemix::SaemixData</a>?</p></dd> @@ -199,6 +257,11 @@ and the end of the optimisation process?</p></dd> <dt>digits</dt> <dd><p>Number of digits to use for printing</p></dd> + +<dt>ci</dt> +<dd><p>Should a matrix with estimates and confidence interval boundaries +be returned? If FALSE (default), a vector of estimates is returned.</p></dd> + </dl></div> <div id="value"> <h2>Value</h2> @@ -241,40 +304,43 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-in"><span><span class="va">f_saem_sfo</span> <span class="op"><-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span> <span class="r-in"><span><span class="va">f_saem_fomc</span> <span class="op"><-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span></span> <span class="r-in"><span><span class="va">f_saem_dfop</span> <span class="op"><-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></span> -<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop</span><span class="op">)</span></span></span> -<span class="r-out co"><span class="r-pr">#></span> [1] "sd(g_qlogis)"</span> -<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_dfop</span>, covariance.model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/diag.html" class="external-link">diag</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">0</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span> -<span class="r-out co"><span class="r-pr">#></span> Kinetic nonlinear mixed-effects model fit by SAEM</span> -<span class="r-out co"><span class="r-pr">#></span> Structural model:</span> -<span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span> -<span class="r-out co"><span class="r-pr">#></span> time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span> -<span class="r-out co"><span class="r-pr">#></span> * parent</span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_saem_sfo</span>, <span class="va">f_saem_fomc</span>, <span class="va">f_saem_dfop</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> Data: 90 observations of 1 variable(s) grouped in 5 datasets</span> <span class="r-out co"><span class="r-pr">#></span> </span> -<span class="r-out co"><span class="r-pr">#></span> Data:</span> -<span class="r-out co"><span class="r-pr">#></span> 90 observations of 1 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> npar AIC BIC Lik</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_sfo 5 624.33 622.38 -307.17</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc 7 467.85 465.11 -226.92</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.76 490.24 -237.88</span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_saem_sfo</span>, <span class="va">f_saem_dfop</span>, test <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> Data: 90 observations of 1 variable(s) grouped in 5 datasets</span> <span class="r-out co"><span class="r-pr">#></span> </span> -<span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> -<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> -<span class="r-out co"><span class="r-pr">#></span> 490.6 487.5 -237.3</span> +<span class="r-out co"><span class="r-pr">#></span> npar AIC BIC Lik Chisq Df Pr(>Chisq) </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_sfo 5 624.33 622.38 -307.17 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.76 490.24 -237.88 138.57 4 < 2.2e-16 ***</span> +<span class="r-out co"><span class="r-pr">#></span> ---</span> +<span class="r-out co"><span class="r-pr">#></span> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span> +<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> [1] "sd(g_qlogis)"</span> +<span class="r-in"><span><span class="va">f_saem_dfop_red</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_dfop</span>, no_random_effect <span class="op">=</span> <span class="st">"g_qlogis"</span><span class="op">)</span></span></span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_saem_dfop</span>, <span class="va">f_saem_dfop_red</span>, test <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> Data: 90 observations of 1 variable(s) grouped in 5 datasets</span> <span class="r-out co"><span class="r-pr">#></span> </span> -<span class="r-out co"><span class="r-pr">#></span> Fitted parameters:</span> -<span class="r-out co"><span class="r-pr">#></span> estimate lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> parent_0 93.902 91.3695 96.4339</span> -<span class="r-out co"><span class="r-pr">#></span> log_k1 -2.936 -3.9950 -1.8762</span> -<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.091 -4.9290 -1.2523</span> -<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.366 -0.6484 -0.0836</span> -<span class="r-out co"><span class="r-pr">#></span> a.1 2.385 2.0033 2.7664</span> -<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.476 0.3890 4.5623</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.195 0.4381 1.9517</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.092 0.7906 3.3932</span> -<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_saem_dfop</span><span class="op">)</span></span></span> -<span class="r-out co"><span class="r-pr">#></span> [1] 493.9811</span> +<span class="r-out co"><span class="r-pr">#></span> npar AIC BIC Lik Chisq Df Pr(>Chisq)</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop_red 8 488.68 485.55 -236.34 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.76 490.24 -237.88 0 1 1</span> <span class="r-in"><span></span></span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_saem_sfo</span>, <span class="va">f_saem_fomc</span>, <span class="va">f_saem_dfop</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> Data: 90 observations of 1 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> npar AIC BIC Lik</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_sfo 5 624.33 622.38 -307.17</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc 7 467.85 465.11 -226.92</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.76 490.24 -237.88</span> <span class="r-in"><span><span class="co"># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span></span></span> <span class="r-in"><span><span class="co"># functions from saemix</span></span></span> <span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span></span></span> <span class="r-msg co"><span class="r-pr">#></span> Loading required package: npde</span> -<span class="r-msg co"><span class="r-pr">#></span> Package saemix, version 3.1</span> +<span class="r-msg co"><span class="r-pr">#></span> Package saemix, version 3.2</span> <span class="r-msg co"><span class="r-pr">#></span> please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span> <span class="r-msg co"><span class="r-pr">#></span> </span> <span class="r-msg co"><span class="r-pr">#></span> Attaching package: ‘saemix’</span> @@ -284,9 +350,9 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_sfo</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_dfop</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span></span> <span class="r-msg co"><span class="r-pr">#></span> Likelihoods calculated by importance sampling</span> <span class="r-out co"><span class="r-pr">#></span> AIC BIC</span> -<span class="r-out co"><span class="r-pr">#></span> 1 624.2598 622.3070</span> -<span class="r-out co"><span class="r-pr">#></span> 2 467.8664 465.1324</span> -<span class="r-out co"><span class="r-pr">#></span> 3 493.9811 490.4660</span> +<span class="r-out co"><span class="r-pr">#></span> 1 624.3316 622.3788</span> +<span class="r-out co"><span class="r-pr">#></span> 2 467.8472 465.1132</span> +<span class="r-out co"><span class="r-pr">#></span> 3 493.7592 490.2441</span> <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></span> <span class="r-plt img"><img src="saem-1.png" alt="" width="700" height="433"></span> <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"individual.fit"</span><span class="op">)</span></span></span> @@ -300,11 +366,12 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-in"><span></span></span> <span class="r-in"><span><span class="va">f_mmkin_parent_tc</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_mmkin_parent</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span> <span class="r-in"><span><span class="va">f_saem_fomc_tc</span> <span class="op"><-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_tc</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span></span> -<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span></span> -<span class="r-msg co"><span class="r-pr">#></span> Likelihoods calculated by importance sampling</span> -<span class="r-out co"><span class="r-pr">#></span> AIC BIC</span> -<span class="r-out co"><span class="r-pr">#></span> 1 467.8664 465.1324</span> -<span class="r-out co"><span class="r-pr">#></span> 2 469.9096 466.7851</span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_saem_fomc</span>, <span class="va">f_saem_fomc_tc</span>, test <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span> +<span class="r-out co"><span class="r-pr">#></span> Data: 90 observations of 1 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> npar AIC BIC Lik Chisq Df Pr(>Chisq)</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc 7 467.85 465.11 -226.92 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc_tc 8 469.83 466.71 -226.92 0.015 1 0.9027</span> <span class="r-in"><span></span></span> <span class="r-in"><span><span class="va">sfo_sfo</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span> <span class="r-in"><span> A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span> @@ -341,32 +408,32 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-out co"><span class="r-pr">#></span> 170 observations of 2 variable(s) grouped in 5 datasets</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> -<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> -<span class="r-out co"><span class="r-pr">#></span> 842 836.9 -408</span> +<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span> 839.2 834.1 -406.6</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Fitted parameters:</span> -<span class="r-out co"><span class="r-pr">#></span> estimate lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> parent_0 93.7701 91.1458 96.3945</span> -<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -5.8116 -7.5998 -4.0234</span> -<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.9608 -1.3654 -0.5562</span> -<span class="r-out co"><span class="r-pr">#></span> log_k1 -2.5841 -3.6876 -1.4805</span> -<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.5228 -5.3254 -1.7203</span> -<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.1027 -0.8719 0.6665</span> -<span class="r-out co"><span class="r-pr">#></span> a.1 1.8856 1.6676 2.1037</span> -<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.7682 0.7668 4.7695</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1 1.7447 0.4047 3.0848</span> -<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.4525 0.1620 0.7431</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.2423 0.4560 2.0285</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.0390 0.7601 3.3180</span> -<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis 0.4439 -0.3069 1.1947</span> +<span class="r-out co"><span class="r-pr">#></span> estimate lower upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 93.70402 91.04104 96.3670</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -5.83760 -7.66452 -4.0107</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.95718 -1.35955 -0.5548</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1 -2.35514 -3.39402 -1.3163</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.79634 -5.64009 -1.9526</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.02108 -0.66463 0.6225</span> +<span class="r-out co"><span class="r-pr">#></span> a.1 1.88191 1.66491 2.0989</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.81628 0.78922 4.8433</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1 1.78751 0.42105 3.1540</span> +<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.45016 0.16116 0.7391</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.06923 0.31676 1.8217</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.03768 0.70938 3.3660</span> +<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis 0.44024 -0.09262 0.9731</span> <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span></span> <span class="r-plt img"><img src="saem-4.png" alt="" width="700" height="433"></span> <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span> -<span class="r-out co"><span class="r-pr">#></span> saemix version used for fitting: 3.1 </span> -<span class="r-out co"><span class="r-pr">#></span> mkin version used for pre-fitting: 1.1.2 </span> -<span class="r-out co"><span class="r-pr">#></span> R version used for fitting: 4.2.1 </span> -<span class="r-out co"><span class="r-pr">#></span> Date of fit: Wed Aug 10 13:15:20 2022 </span> -<span class="r-out co"><span class="r-pr">#></span> Date of summary: Wed Aug 10 13:15:20 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> saemix version used for fitting: 3.2 </span> +<span class="r-out co"><span class="r-pr">#></span> mkin version used for pre-fitting: 1.2.1 </span> +<span class="r-out co"><span class="r-pr">#></span> R version used for fitting: 4.2.2 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of fit: Fri Nov 18 19:19:25 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of summary: Fri Nov 18 19:19:25 2022 </span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Equations:</span> <span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span> @@ -381,7 +448,7 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Model predictions using solution type analytical </span> <span class="r-out co"><span class="r-pr">#></span> </span> -<span class="r-out co"><span class="r-pr">#></span> Fitted in 9.258 s</span> +<span class="r-out co"><span class="r-pr">#></span> Fitted in 9.068 s</span> <span class="r-out co"><span class="r-pr">#></span> Using 300, 100 iterations and 10 chains</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Variance model: Constant variance </span> @@ -398,230 +465,237 @@ using <a href="mmkin.html">mmkin</a>.</p> <span class="r-out co"><span class="r-pr">#></span> Results:</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> -<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> -<span class="r-out co"><span class="r-pr">#></span> 842 836.9 -408</span> +<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span> 839.2 834.1 -406.6</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Optimised parameters:</span> -<span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> parent_0 93.7701 91.1458 96.3945</span> -<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -5.8116 -7.5998 -4.0234</span> -<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.9608 -1.3654 -0.5562</span> -<span class="r-out co"><span class="r-pr">#></span> log_k1 -2.5841 -3.6876 -1.4805</span> -<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.5228 -5.3254 -1.7203</span> -<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.1027 -0.8719 0.6665</span> +<span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 93.70402 91.04104 96.3670</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -5.83760 -7.66452 -4.0107</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.95718 -1.35955 -0.5548</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1 -2.35514 -3.39402 -1.3163</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2 -3.79634 -5.64009 -1.9526</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.02108 -0.66463 0.6225</span> +<span class="r-out co"><span class="r-pr">#></span> a.1 1.88191 1.66491 2.0989</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.81628 0.78922 4.8433</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1 1.78751 0.42105 3.1540</span> +<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.45016 0.16116 0.7391</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.06923 0.31676 1.8217</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.03768 0.70938 3.3660</span> +<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis 0.44024 -0.09262 0.9731</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Correlation: </span> <span class="r-out co"><span class="r-pr">#></span> parnt_0 lg_k_A1 f_prnt_ log_k1 log_k2 </span> -<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -0.0160 </span> -<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.0263 0.0612 </span> -<span class="r-out co"><span class="r-pr">#></span> log_k1 0.0100 -0.0014 -0.0033 </span> -<span class="r-out co"><span class="r-pr">#></span> log_k2 0.0131 0.0050 -0.0011 0.0071 </span> -<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.0419 -0.0199 0.0026 -0.0765 -0.0707</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1 -0.0147 </span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.0269 0.0573 </span> +<span class="r-out co"><span class="r-pr">#></span> log_k1 0.0263 -0.0011 -0.0040 </span> +<span class="r-out co"><span class="r-pr">#></span> log_k2 0.0020 0.0065 -0.0002 -0.0776 </span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis -0.0248 -0.0180 -0.0004 -0.0903 -0.0603</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Random effects:</span> -<span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.7682 0.7668 4.7695</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1 1.7447 0.4047 3.0848</span> -<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.4525 0.1620 0.7431</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.2423 0.4560 2.0285</span> -<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.0390 0.7601 3.3180</span> -<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis 0.4439 -0.3069 1.1947</span> +<span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0 2.8163 0.78922 4.8433</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1 1.7875 0.42105 3.1540</span> +<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.4502 0.16116 0.7391</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1 1.0692 0.31676 1.8217</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k2 2.0377 0.70938 3.3660</span> +<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis 0.4402 -0.09262 0.9731</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Variance model:</span> <span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> a.1 1.886 1.668 2.104</span> +<span class="r-out co"><span class="r-pr">#></span> a.1 1.882 1.665 2.099</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Backtransformed parameters:</span> <span class="r-out co"><span class="r-pr">#></span> est. lower upper</span> -<span class="r-out co"><span class="r-pr">#></span> parent_0 93.770115 9.115e+01 96.39447</span> -<span class="r-out co"><span class="r-pr">#></span> k_A1 0.002993 5.005e-04 0.01789</span> -<span class="r-out co"><span class="r-pr">#></span> f_parent_to_A1 0.276720 2.034e-01 0.36443</span> -<span class="r-out co"><span class="r-pr">#></span> k1 0.075467 2.503e-02 0.22753</span> -<span class="r-out co"><span class="r-pr">#></span> k2 0.029516 4.867e-03 0.17902</span> -<span class="r-out co"><span class="r-pr">#></span> g 0.474353 2.949e-01 0.66073</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 93.704015 9.104e+01 96.36699</span> +<span class="r-out co"><span class="r-pr">#></span> k_A1 0.002916 4.692e-04 0.01812</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_to_A1 0.277443 2.043e-01 0.36475</span> +<span class="r-out co"><span class="r-pr">#></span> k1 0.094880 3.357e-02 0.26813</span> +<span class="r-out co"><span class="r-pr">#></span> k2 0.022453 3.553e-03 0.14191</span> +<span class="r-out co"><span class="r-pr">#></span> g 0.494731 3.397e-01 0.65078</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Resulting formation fractions:</span> <span class="r-out co"><span class="r-pr">#></span> ff</span> -<span class="r-out co"><span class="r-pr">#></span> parent_A1 0.2767</span> -<span class="r-out co"><span class="r-pr">#></span> parent_sink 0.7233</span> +<span class="r-out co"><span class="r-pr">#></span> parent_A1 0.2774</span> +<span class="r-out co"><span class="r-pr">#></span> parent_sink 0.7226</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Estimated disappearance times:</span> -<span class="r-out co"><span class="r-pr">#></span> DT50 DT90 DT50back DT50_k1 DT50_k2</span> -<span class="r-out co"><span class="r-pr">#></span> parent 14.56 58.26 17.54 9.185 23.48</span> -<span class="r-out co"><span class="r-pr">#></span> A1 231.62 769.41 NA NA NA</span> +<span class="r-out co"><span class="r-pr">#></span> DT50 DT90 DT50back DT50_k1 DT50_k2</span> +<span class="r-out co"><span class="r-pr">#></span> parent 14.0 72.38 21.79 7.306 30.87</span> +<span class="r-out co"><span class="r-pr">#></span> A1 237.7 789.68 NA NA NA</span> <span class="r-out co"><span class="r-pr">#></span> </span> <span class="r-out co"><span class="r-pr">#></span> Data:</span> <span class="r-out co"><span class="r-pr">#></span> ds name time observed predicted residual std standardized</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 0 97.2 95.78623 1.41377 1.886 0.749758</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 0 96.4 95.78623 0.61377 1.886 0.325498</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 3 71.1 71.34666 -0.24666 1.886 -0.130812</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 3 69.2 71.34666 -2.14666 1.886 -1.138429</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 6 58.1 56.49768 1.60232 1.886 0.849749</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 6 56.6 56.49768 0.10232 1.886 0.054262</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 10 44.4 44.53511 -0.13511 1.886 -0.071650</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 10 43.4 44.53511 -1.13511 1.886 -0.601974</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 20 33.3 29.77451 3.52549 1.886 1.869656</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 20 29.2 29.77451 -0.57451 1.886 -0.304675</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 34 17.6 19.32540 -1.72540 1.886 -0.915023</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 34 18.0 19.32540 -1.32540 1.886 -0.702894</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 55 10.5 10.42781 0.07219 1.886 0.038282</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 55 9.3 10.42781 -1.12781 1.886 -0.598107</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 90 4.5 3.74190 0.75810 1.886 0.402037</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 90 4.7 3.74190 0.95810 1.886 0.508102</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 112 3.0 1.96485 1.03515 1.886 0.548966</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 112 3.4 1.96485 1.43515 1.886 0.761096</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 132 2.3 1.09395 1.20605 1.886 0.639596</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 132 2.7 1.09395 1.60605 1.886 0.851726</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 3 4.3 4.72702 -0.42702 1.886 -0.226458</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 3 4.6 4.72702 -0.12702 1.886 -0.067361</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 6 7.0 7.51314 -0.51314 1.886 -0.272128</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 6 7.2 7.51314 -0.31314 1.886 -0.166063</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 10 8.2 9.63719 -1.43719 1.886 -0.762179</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 10 8.0 9.63719 -1.63719 1.886 -0.868244</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 20 11.0 11.84931 -0.84931 1.886 -0.450409</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 20 13.7 11.84931 1.85069 1.886 0.981468</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 34 11.5 12.82336 -1.32336 1.886 -0.701808</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 34 12.7 12.82336 -0.12336 1.886 -0.065418</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 55 14.9 12.89456 2.00544 1.886 1.063533</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 55 14.5 12.89456 1.60544 1.886 0.851403</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 90 12.1 11.55919 0.54081 1.886 0.286806</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 90 12.3 11.55919 0.74081 1.886 0.392871</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 112 9.9 10.42334 -0.52334 1.886 -0.277539</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 112 10.2 10.42334 -0.22334 1.886 -0.118442</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 132 8.8 9.37987 -0.57987 1.886 -0.307519</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 132 7.8 9.37987 -1.57987 1.886 -0.837844</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 0 93.6 90.95702 2.64298 1.886 1.401639</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 0 92.3 90.95702 1.34298 1.886 0.712217</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 3 87.0 84.77506 2.22494 1.886 1.179942</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 3 82.2 84.77506 -2.57506 1.886 -1.365616</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 7 74.0 77.60962 -3.60962 1.886 -1.914268</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 7 73.9 77.60962 -3.70962 1.886 -1.967301</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 14 64.2 67.50646 -3.30646 1.886 -1.753499</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 14 69.5 67.50646 1.99354 1.886 1.057221</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 30 54.0 52.48909 1.51091 1.886 0.801271</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 30 54.6 52.48909 2.11091 1.886 1.119465</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 60 41.1 39.54372 1.55628 1.886 0.825335</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 60 38.4 39.54372 -1.14372 1.886 -0.606542</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 90 32.5 33.87968 -1.37968 1.886 -0.731676</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 90 35.5 33.87968 1.62032 1.886 0.859298</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 120 28.1 30.41071 -2.31071 1.886 -1.225427</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 120 29.0 30.41071 -1.41071 1.886 -0.748135</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 180 26.5 25.36386 1.13614 1.886 0.602524</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 180 27.6 25.36386 2.23614 1.886 1.185881</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 3 3.9 2.74863 1.15137 1.886 0.610600</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 3 3.1 2.74863 0.35137 1.886 0.186341</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 7 6.9 5.92686 0.97314 1.886 0.516081</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 7 6.6 5.92686 0.67314 1.886 0.356983</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 14 10.4 10.38800 0.01200 1.886 0.006362</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 14 8.3 10.38800 -2.08800 1.886 -1.107320</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 30 14.4 16.93529 -2.53529 1.886 -1.344524</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 30 13.7 16.93529 -3.23529 1.886 -1.715751</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 60 22.1 22.33044 -0.23044 1.886 -0.122209</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 60 22.3 22.33044 -0.03044 1.886 -0.016144</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 90 27.5 24.42300 3.07700 1.886 1.631809</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 90 25.4 24.42300 0.97700 1.886 0.518127</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 120 28.0 25.51140 2.48860 1.886 1.319768</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 120 26.6 25.51140 1.08860 1.886 0.577313</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 180 25.8 26.80282 -1.00282 1.886 -0.531818</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 180 25.3 26.80282 -1.50282 1.886 -0.796981</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 0 91.9 91.08733 0.81267 1.886 0.430980</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 0 90.8 91.08733 -0.28733 1.886 -0.152377</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 1 64.9 67.55332 -2.65332 1.886 -1.407123</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 1 66.2 67.55332 -1.35332 1.886 -0.717701</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 3 43.5 41.65811 1.84189 1.886 0.976800</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 3 44.1 41.65811 2.44189 1.886 1.294994</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 8 18.3 19.65773 -1.35773 1.886 -0.720038</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 8 18.1 19.65773 -1.55773 1.886 -0.826103</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 14 10.2 10.65118 -0.45118 1.886 -0.239269</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 14 10.8 10.65118 0.14882 1.886 0.078925</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 27 4.9 3.11694 1.78306 1.886 0.945601</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 27 3.3 3.11694 0.18306 1.886 0.097082</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 48 1.6 0.43165 1.16835 1.886 0.619603</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 48 1.5 0.43165 1.06835 1.886 0.566570</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 70 1.1 0.05441 1.04559 1.886 0.554503</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 70 0.9 0.05441 0.84559 1.886 0.448438</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 1 9.6 7.66431 1.93569 1.886 1.026546</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 1 7.7 7.66431 0.03569 1.886 0.018930</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 3 15.0 15.57948 -0.57948 1.886 -0.307311</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 3 15.1 15.57948 -0.47948 1.886 -0.254279</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 8 21.2 20.38988 0.81012 1.886 0.429625</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 8 21.1 20.38988 0.71012 1.886 0.376593</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 14 19.7 20.16439 -0.46439 1.886 -0.246276</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 14 18.9 20.16439 -1.26439 1.886 -0.670535</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 27 17.5 16.40918 1.09082 1.886 0.578489</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 27 15.9 16.40918 -0.50918 1.886 -0.270030</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 48 9.5 10.12011 -0.62011 1.886 -0.328861</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 48 9.8 10.12011 -0.32011 1.886 -0.169764</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 70 6.2 5.79080 0.40920 1.886 0.217011</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 70 6.1 5.79080 0.30920 1.886 0.163979</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 0 99.8 97.38786 2.41214 1.886 1.279218</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 0 98.3 97.38786 0.91214 1.886 0.483731</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 1 77.1 79.25431 -2.15431 1.886 -1.142481</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 1 77.2 79.25431 -2.05431 1.886 -1.089449</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 3 59.0 55.69866 3.30134 1.886 1.750781</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 3 58.1 55.69866 2.40134 1.886 1.273489</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 8 27.4 31.64893 -4.24893 1.886 -2.253314</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 8 29.2 31.64893 -2.44893 1.886 -1.298729</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 14 19.1 22.57316 -3.47316 1.886 -1.841901</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 14 29.6 22.57316 7.02684 1.886 3.726507</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 27 10.1 14.11345 -4.01345 1.886 -2.128430</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 27 18.2 14.11345 4.08655 1.886 2.167199</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 48 4.5 6.95586 -2.45586 1.886 -1.302400</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 48 9.1 6.95586 2.14414 1.886 1.137093</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 70 2.3 3.31753 -1.01753 1.886 -0.539619</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 70 2.9 3.31753 -0.41753 1.886 -0.221424</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 91 2.0 1.63642 0.36358 1.886 0.192816</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 91 1.8 1.63642 0.16358 1.886 0.086751</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 120 2.0 0.61667 1.38333 1.886 0.733614</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 120 2.2 0.61667 1.58333 1.886 0.839679</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 1 4.2 3.67247 0.52753 1.886 0.279763</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 1 3.9 3.67247 0.22753 1.886 0.120666</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 3 7.4 8.36240 -0.96240 1.886 -0.510385</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 3 7.9 8.36240 -0.46240 1.886 -0.245223</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 8 14.5 12.80590 1.69410 1.886 0.898422</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 8 13.7 12.80590 0.89410 1.886 0.474162</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 14 14.2 13.99625 0.20375 1.886 0.108053</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 14 12.2 13.99625 -1.79625 1.886 -0.952596</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 27 13.7 14.22730 -0.52730 1.886 -0.279641</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 27 13.2 14.22730 -1.02730 1.886 -0.544803</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 48 13.6 13.33713 0.26287 1.886 0.139406</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 48 15.4 13.33713 2.06287 1.886 1.093991</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 70 10.4 11.84008 -1.44008 1.886 -0.763708</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 70 11.6 11.84008 -0.24008 1.886 -0.127318</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 91 10.0 10.30732 -0.30732 1.886 -0.162980</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 91 9.5 10.30732 -0.80732 1.886 -0.428142</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 120 9.1 8.33981 0.76019 1.886 0.403149</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 120 9.0 8.33981 0.66019 1.886 0.350117</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 0 96.1 93.70349 2.39651 1.886 1.270926</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 0 94.3 93.70349 0.59651 1.886 0.316342</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 8 73.9 77.86253 -3.96253 1.886 -2.101429</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 8 73.9 77.86253 -3.96253 1.886 -2.101429</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 14 69.4 70.18665 -0.78665 1.886 -0.417182</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 14 73.1 70.18665 2.91335 1.886 1.545019</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 21 65.6 64.03245 1.56755 1.886 0.831308</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 21 65.3 64.03245 1.26755 1.886 0.672210</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 41 55.9 54.71491 1.18509 1.886 0.628480</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 41 54.4 54.71491 -0.31491 1.886 -0.167007</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 63 47.0 49.63436 -2.63436 1.886 -1.397065</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 63 49.3 49.63436 -0.33436 1.886 -0.177319</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 91 44.7 45.08853 -0.38853 1.886 -0.206049</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 91 46.7 45.08853 1.61147 1.886 0.854600</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 120 42.1 41.07653 1.02347 1.886 0.542772</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 120 41.3 41.07653 0.22347 1.886 0.118513</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 8 3.3 4.08295 -0.78295 1.886 -0.415218</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 8 3.4 4.08295 -0.68295 1.886 -0.362186</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 14 3.9 6.04367 -2.14367 1.886 -1.136841</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 14 2.9 6.04367 -3.14367 1.886 -1.667165</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 21 6.4 7.59693 -1.19693 1.886 -0.634761</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 21 7.2 7.59693 -0.39693 1.886 -0.210502</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 41 9.1 9.86436 -0.76436 1.886 -0.405361</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 41 8.5 9.86436 -1.36436 1.886 -0.723555</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 63 11.7 10.99397 0.70603 1.886 0.374425</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 63 12.0 10.99397 1.00603 1.886 0.533522</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 91 13.3 11.91274 1.38726 1.886 0.735696</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 91 13.2 11.91274 1.28726 1.886 0.682663</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 120 14.3 12.66519 1.63481 1.886 0.866981</span> -<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 120 12.1 12.66519 -0.56519 1.886 -0.299733</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 0 97.2 95.70025 1.49975 1.882 0.79693</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 0 96.4 95.70025 0.69975 1.882 0.37183</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 3 71.1 71.44670 -0.34670 1.882 -0.18423</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 3 69.2 71.44670 -2.24670 1.882 -1.19384</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 6 58.1 56.59283 1.50717 1.882 0.80087</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 6 56.6 56.59283 0.00717 1.882 0.00381</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 10 44.4 44.56648 -0.16648 1.882 -0.08847</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 10 43.4 44.56648 -1.16648 1.882 -0.61984</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 20 33.3 29.76020 3.53980 1.882 1.88096</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 20 29.2 29.76020 -0.56020 1.882 -0.29767</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 34 17.6 19.39208 -1.79208 1.882 -0.95226</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 34 18.0 19.39208 -1.39208 1.882 -0.73971</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 55 10.5 10.55761 -0.05761 1.882 -0.03061</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 55 9.3 10.55761 -1.25761 1.882 -0.66826</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 90 4.5 3.84742 0.65258 1.882 0.34676</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 90 4.7 3.84742 0.85258 1.882 0.45304</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 112 3.0 2.03997 0.96003 1.882 0.51013</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 112 3.4 2.03997 1.36003 1.882 0.72268</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 132 2.3 1.14585 1.15415 1.882 0.61328</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 parent 132 2.7 1.14585 1.55415 1.882 0.82583</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 3 4.3 4.86054 -0.56054 1.882 -0.29786</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 3 4.6 4.86054 -0.26054 1.882 -0.13844</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 6 7.0 7.74179 -0.74179 1.882 -0.39417</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 6 7.2 7.74179 -0.54179 1.882 -0.28789</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 10 8.2 9.94048 -1.74048 1.882 -0.92485</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 10 8.0 9.94048 -1.94048 1.882 -1.03112</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 20 11.0 12.19109 -1.19109 1.882 -0.63291</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 20 13.7 12.19109 1.50891 1.882 0.80180</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 34 11.5 13.10706 -1.60706 1.882 -0.85395</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 34 12.7 13.10706 -0.40706 1.882 -0.21630</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 55 14.9 13.06131 1.83869 1.882 0.97703</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 55 14.5 13.06131 1.43869 1.882 0.76448</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 90 12.1 11.54495 0.55505 1.882 0.29494</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 90 12.3 11.54495 0.75505 1.882 0.40122</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 112 9.9 10.31533 -0.41533 1.882 -0.22070</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 112 10.2 10.31533 -0.11533 1.882 -0.06128</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 132 8.8 9.20222 -0.40222 1.882 -0.21373</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 6 A1 132 7.8 9.20222 -1.40222 1.882 -0.74510</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 0 93.6 90.82357 2.77643 1.882 1.47532</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 0 92.3 90.82357 1.47643 1.882 0.78453</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 3 87.0 84.73448 2.26552 1.882 1.20384</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 3 82.2 84.73448 -2.53448 1.882 -1.34675</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 7 74.0 77.65013 -3.65013 1.882 -1.93958</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 7 73.9 77.65013 -3.75013 1.882 -1.99272</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 14 64.2 67.60639 -3.40639 1.882 -1.81007</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 14 69.5 67.60639 1.89361 1.882 1.00621</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 30 54.0 52.53663 1.46337 1.882 0.77760</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 30 54.6 52.53663 2.06337 1.882 1.09642</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 60 41.1 39.42728 1.67272 1.882 0.88884</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 60 38.4 39.42728 -1.02728 1.882 -0.54587</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 90 32.5 33.76360 -1.26360 1.882 -0.67144</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 90 35.5 33.76360 1.73640 1.882 0.92268</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 120 28.1 30.39975 -2.29975 1.882 -1.22203</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 120 29.0 30.39975 -1.39975 1.882 -0.74379</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 180 26.5 25.62379 0.87621 1.882 0.46559</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 parent 180 27.6 25.62379 1.97621 1.882 1.05010</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 3 3.9 2.70005 1.19995 1.882 0.63762</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 3 3.1 2.70005 0.39995 1.882 0.21252</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 7 6.9 5.83475 1.06525 1.882 0.56605</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 7 6.6 5.83475 0.76525 1.882 0.40663</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 14 10.4 10.26142 0.13858 1.882 0.07364</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 14 8.3 10.26142 -1.96142 1.882 -1.04225</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 30 14.4 16.82999 -2.42999 1.882 -1.29123</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 30 13.7 16.82999 -3.12999 1.882 -1.66319</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 60 22.1 22.32486 -0.22486 1.882 -0.11949</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 60 22.3 22.32486 -0.02486 1.882 -0.01321</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 90 27.5 24.45927 3.04073 1.882 1.61576</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 90 25.4 24.45927 0.94073 1.882 0.49988</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 120 28.0 25.54862 2.45138 1.882 1.30260</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 120 26.6 25.54862 1.05138 1.882 0.55868</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 180 25.8 26.82277 -1.02277 1.882 -0.54347</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 7 A1 180 25.3 26.82277 -1.52277 1.882 -0.80916</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 0 91.9 91.16791 0.73209 1.882 0.38901</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 0 90.8 91.16791 -0.36791 1.882 -0.19550</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 1 64.9 67.58358 -2.68358 1.882 -1.42598</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 1 66.2 67.58358 -1.38358 1.882 -0.73520</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 3 43.5 41.62086 1.87914 1.882 0.99853</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 3 44.1 41.62086 2.47914 1.882 1.31735</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 8 18.3 19.60116 -1.30116 1.882 -0.69140</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 8 18.1 19.60116 -1.50116 1.882 -0.79768</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 14 10.2 10.63101 -0.43101 1.882 -0.22903</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 14 10.8 10.63101 0.16899 1.882 0.08980</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 27 4.9 3.12435 1.77565 1.882 0.94354</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 27 3.3 3.12435 0.17565 1.882 0.09334</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 48 1.6 0.43578 1.16422 1.882 0.61864</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 48 1.5 0.43578 1.06422 1.882 0.56550</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 70 1.1 0.05534 1.04466 1.882 0.55510</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 parent 70 0.9 0.05534 0.84466 1.882 0.44883</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 1 9.6 7.63450 1.96550 1.882 1.04442</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 1 7.7 7.63450 0.06550 1.882 0.03481</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 3 15.0 15.52593 -0.52593 1.882 -0.27947</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 3 15.1 15.52593 -0.42593 1.882 -0.22633</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 8 21.2 20.32192 0.87808 1.882 0.46659</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 8 21.1 20.32192 0.77808 1.882 0.41345</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 14 19.7 20.09721 -0.39721 1.882 -0.21107</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 14 18.9 20.09721 -1.19721 1.882 -0.63617</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 27 17.5 16.37477 1.12523 1.882 0.59792</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 27 15.9 16.37477 -0.47477 1.882 -0.25228</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 48 9.5 10.13141 -0.63141 1.882 -0.33551</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 48 9.8 10.13141 -0.33141 1.882 -0.17610</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 70 6.2 5.81827 0.38173 1.882 0.20284</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 8 A1 70 6.1 5.81827 0.28173 1.882 0.14970</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 0 99.8 97.48728 2.31272 1.882 1.22892</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 0 98.3 97.48728 0.81272 1.882 0.43186</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 1 77.1 79.29476 -2.19476 1.882 -1.16624</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 1 77.2 79.29476 -2.09476 1.882 -1.11310</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 3 59.0 55.67060 3.32940 1.882 1.76915</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 3 58.1 55.67060 2.42940 1.882 1.29092</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 8 27.4 31.57871 -4.17871 1.882 -2.22046</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 8 29.2 31.57871 -2.37871 1.882 -1.26398</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 14 19.1 22.51546 -3.41546 1.882 -1.81489</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 14 29.6 22.51546 7.08454 1.882 3.76454</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 27 10.1 14.09074 -3.99074 1.882 -2.12057</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 27 18.2 14.09074 4.10926 1.882 2.18355</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 48 4.5 6.95747 -2.45747 1.882 -1.30584</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 48 9.1 6.95747 2.14253 1.882 1.13848</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 70 2.3 3.32472 -1.02472 1.882 -0.54451</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 70 2.9 3.32472 -0.42472 1.882 -0.22569</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 91 2.0 1.64300 0.35700 1.882 0.18970</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 91 1.8 1.64300 0.15700 1.882 0.08343</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 120 2.0 0.62073 1.37927 1.882 0.73291</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 parent 120 2.2 0.62073 1.57927 1.882 0.83918</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 1 4.2 3.64568 0.55432 1.882 0.29455</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 1 3.9 3.64568 0.25432 1.882 0.13514</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 3 7.4 8.30173 -0.90173 1.882 -0.47916</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 3 7.9 8.30173 -0.40173 1.882 -0.21347</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 8 14.5 12.71589 1.78411 1.882 0.94803</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 8 13.7 12.71589 0.98411 1.882 0.52293</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 14 14.2 13.90452 0.29548 1.882 0.15701</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 14 12.2 13.90452 -1.70452 1.882 -0.90574</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 27 13.7 14.15523 -0.45523 1.882 -0.24190</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 27 13.2 14.15523 -0.95523 1.882 -0.50759</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 48 13.6 13.31038 0.28962 1.882 0.15389</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 48 15.4 13.31038 2.08962 1.882 1.11037</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 70 10.4 11.85965 -1.45965 1.882 -0.77562</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 70 11.6 11.85965 -0.25965 1.882 -0.13797</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 91 10.0 10.36294 -0.36294 1.882 -0.19286</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 91 9.5 10.36294 -0.86294 1.882 -0.45855</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 120 9.1 8.43003 0.66997 1.882 0.35601</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 9 A1 120 9.0 8.43003 0.56997 1.882 0.30287</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 0 96.1 93.95603 2.14397 1.882 1.13925</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 0 94.3 93.95603 0.34397 1.882 0.18278</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 8 73.9 77.70592 -3.80592 1.882 -2.02237</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 8 73.9 77.70592 -3.80592 1.882 -2.02237</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 14 69.4 70.04570 -0.64570 1.882 -0.34311</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 14 73.1 70.04570 3.05430 1.882 1.62298</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 21 65.6 64.01710 1.58290 1.882 0.84111</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 21 65.3 64.01710 1.28290 1.882 0.68170</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 41 55.9 54.98434 0.91566 1.882 0.48656</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 41 54.4 54.98434 -0.58434 1.882 -0.31050</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 63 47.0 49.87137 -2.87137 1.882 -1.52577</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 63 49.3 49.87137 -0.57137 1.882 -0.30361</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 91 44.7 45.06727 -0.36727 1.882 -0.19516</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 91 46.7 45.06727 1.63273 1.882 0.86759</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 120 42.1 40.76402 1.33598 1.882 0.70991</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 parent 120 41.3 40.76402 0.53598 1.882 0.28481</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 8 3.3 4.14599 -0.84599 1.882 -0.44954</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 8 3.4 4.14599 -0.74599 1.882 -0.39640</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 14 3.9 6.08478 -2.18478 1.882 -1.16093</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 14 2.9 6.08478 -3.18478 1.882 -1.69231</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 21 6.4 7.59411 -1.19411 1.882 -0.63452</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 21 7.2 7.59411 -0.39411 1.882 -0.20942</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 41 9.1 9.78292 -0.68292 1.882 -0.36289</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 41 8.5 9.78292 -1.28292 1.882 -0.68171</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 63 11.7 10.93274 0.76726 1.882 0.40770</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 63 12.0 10.93274 1.06726 1.882 0.56711</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 91 13.3 11.93986 1.36014 1.882 0.72274</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 91 13.2 11.93986 1.26014 1.882 0.66961</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 120 14.3 12.79238 1.50762 1.882 0.80111</span> +<span class="r-out co"><span class="r-pr">#></span> Dataset 10 A1 120 12.1 12.79238 -0.69238 1.882 -0.36791</span> <span class="r-in"><span></span></span> <span class="r-in"><span><span class="co"># The following takes about 6 minutes</span></span></span> <span class="r-in"><span><span class="co">#f_saem_dfop_sfo_deSolve <- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span></span></span> |