diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-10-26 09:36:44 +0200 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-10-26 09:36:44 +0200 |
| commit | d25974f643ee46b7cd5ccd8331dd7bb0b14ab27a (patch) | |
| tree | 47747ea2adfefd0099bd74fc4385412add6ed795 /docs/dev/reference/saem.html | |
| parent | 3c5b2596daef4ed0ee5c38a7141fdf48dbe7c070 (diff) | |
Don't test parhist and llhist on travis, docs
Diffstat (limited to 'docs/dev/reference/saem.html')
| -rw-r--r-- | docs/dev/reference/saem.html | 133 |
1 files changed, 89 insertions, 44 deletions
diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html index ce3d428c..c8a7504f 100644 --- a/docs/dev/reference/saem.html +++ b/docs/dev/reference/saem.html @@ -46,12 +46,15 @@ Expectation Maximisation algorithm (SAEM)."><meta name="robots" content="noindex <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> @@ -101,6 +104,10 @@ Expectation Maximisation algorithm (SAEM).</p> <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> 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> 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> @@ -118,13 +125,17 @@ Expectation Maximisation algorithm (SAEM).</p> <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> 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> 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> 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> +<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> @@ -171,6 +182,29 @@ 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-class.html" class="external-link">saemix::SaemixModel()</a></code>. Per +default, uncorrelated random effects are specified for all degradation +parameters.</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>nbiter.saemix</dt> <dd><p>Convenience option to increase the number of iterations</p></dd> @@ -249,40 +283,43 @@ 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 5 624.26 622.31 -307.13</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc 7 467.87 465.13 -226.93</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.98 490.47 -237.99</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 5 624.26 622.31 -307.13 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.98 490.47 -237.99 138.28 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 8 490.64 487.52 -237.32 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.98 490.47 -237.99 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 5 624.26 622.31 -307.13</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc 7 467.87 465.13 -226.93</span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_dfop 9 493.98 490.47 -237.99</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> @@ -308,11 +345,12 @@ 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> 2 469.8018 466.6773</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 7 467.87 465.13 -226.93 </span> +<span class="r-out co"><span class="r-pr">#></span> f_saem_fomc_tc 8 469.80 466.68 -226.90 0.0645 1 0.7995</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> @@ -370,11 +408,11 @@ using <a href="mmkin.html">mmkin</a>.</p> <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> saemix version used for fitting: 3.2 </span> <span class="r-out co"><span class="r-pr">#></span> mkin version used for pre-fitting: 1.1.2 </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: Fri Sep 16 10:30:47 2022 </span> -<span class="r-out co"><span class="r-pr">#></span> Date of summary: Fri Sep 16 10:30:47 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of fit: Wed Oct 26 09:20:37 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of summary: Wed Oct 26 09:20:37 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> @@ -389,7 +427,7 @@ 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 9.651 s</span> +<span class="r-out co"><span class="r-pr">#></span> Fitted in 8.902 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> @@ -410,13 +448,20 @@ using <a href="mmkin.html">mmkin</a>.</p> <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> </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 93.7701 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> </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> |