diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-02-08 17:17:29 +0100 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-02-08 17:17:29 +0100 | 
| commit | 0fa8a770812775d697717ad723f7f61fb04b7fef (patch) | |
| tree | 17473ddf787541745d47dab063bc643ec59a9557 /docs/dev/reference/saem.html | |
| parent | d081384ddcb75a9f92fad33e4e3f6d6796f98e67 (diff) | |
| parent | c0638c84568d475b3b059e2c6e593e6f03b846bc (diff) | |
Merge branch 'nlmixr'
Diffstat (limited to 'docs/dev/reference/saem.html')
| -rw-r--r-- | docs/dev/reference/saem.html | 423 | 
1 files changed, 51 insertions, 372 deletions
| diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html index 59589378..83a62359 100644 --- a/docs/dev/reference/saem.html +++ b/docs/dev/reference/saem.html @@ -74,7 +74,7 @@ Expectation Maximisation algorithm (SAEM)." />        </button>        <span class="navbar-brand">          <a class="navbar-link" href="../index.html">mkin</a> -        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span> +        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>        </span>      </div> @@ -158,9 +158,13 @@ Expectation Maximisation algorithm (SAEM).</p>    <span class='va'>object</span>,    transformations <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>,    degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>, +  test_log_parms <span class='op'>=</span> <span class='cn'>TRUE</span>, +  conf.level <span class='op'>=</span> <span class='fl'>0.6</span>,    solution_type <span class='op'>=</span> <span class='st'>"auto"</span>, -  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>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>, 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>, +  nbiter.saemix <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>300</span>, <span class='fl'>100</span><span class='op'>)</span>, +  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>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>, +    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>, +  fail_with_errors <span class='op'>=</span> <span class='cn'>TRUE</span>,    verbose <span class='op'>=</span> <span class='cn'>FALSE</span>,    quiet <span class='op'>=</span> <span class='cn'>FALSE</span>,    <span class='va'>...</span> @@ -174,6 +178,7 @@ Expectation Maximisation algorithm (SAEM).</p>    solution_type <span class='op'>=</span> <span class='st'>"auto"</span>,    transformations <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>,    degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>, +  test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>,    verbose <span class='op'>=</span> <span class='cn'>FALSE</span>,    <span class='va'>...</span>  <span class='op'>)</span> @@ -206,13 +211,35 @@ SFO or DFOP is used for the parent and there is either no metabolite or one.</p>  be used to override the starting values obtained from the 'mmkin' object.</p></td>      </tr>      <tr> +      <th>test_log_parms</th> +      <td><p>If TRUE, an attempt is made to use more robust starting +values for population parameters fitted as log parameters in mkin (like +rate constants) by only considering rate constants that pass the t-test +when calculating mean degradation parameters using <a href='mean_degparms.html'>mean_degparms</a>.</p></td> +    </tr> +    <tr> +      <th>conf.level</th> +      <td><p>Possibility to adjust the required confidence level +for parameter that are tested if requested by 'test_log_parms'.</p></td> +    </tr> +    <tr>        <th>solution_type</th>        <td><p>Possibility to specify the solution type in case the  automatic choice is not desired</p></td>      </tr>      <tr> +      <th>nbiter.saemix</th> +      <td><p>Convenience option to increase the number of +iterations</p></td> +    </tr> +    <tr>        <th>control</th> -      <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a></p></td> +      <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a>.</p></td> +    </tr> +    <tr> +      <th>fail_with_errors</th> +      <td><p>Should a failure to compute standard errors +from the inverse of the Fisher Information Matrix be a failure?</p></td>      </tr>      <tr>        <th>verbose</th> @@ -260,75 +287,29 @@ using <a href='mmkin.html'>mmkin</a>.</p>  <span class='va'>f_mmkin_parent_p0_fixed</span> <span class='op'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>ds</span>,    state.ini <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span>, fixed_initials <span class='op'>=</span> <span class='st'>"parent"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>  <span class='va'>f_saem_p0_fixed</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent_p0_fixed</span><span class='op'>)</span> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:42 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:41:43 2021"</div><div class='input'> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'>  <span class='va'>f_mmkin_parent</span> <span class='op'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>, <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</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> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:45 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:41:46 2021"</div><div class='input'><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> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:47 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:41:49 2021"</div><div class='input'><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> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:49 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:41:52 2021"</div><div class='input'> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><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> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><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> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'>  <span class='co'># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span>  <span class='co'># functions from saemix</span>  <span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'>saemix</span><span class='op'>)</span>  </div><div class='output co'>#> <span class='message'>Package saemix, version 3.1.9000</span> -#> <span class='message'>  please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</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'>$</span><span class='va'>so</span><span class='op'>)</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='error'>Error in compare.saemix(list(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span> -</div><div class='output co'>#> Plotting convergence plots</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"individual.fit"</span><span class='op'>)</span> -</div><div class='img'><img src='saem-1.png' alt='' width='700' height='433' /></div><div class='output co'>#> Plotting individual fits</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"npde"</span><span class='op'>)</span> -</div><div class='img'><img src='saem-2.png' alt='' width='700' height='433' /></div><div class='output co'>#> Simulating data using nsim = 1000 simulated datasets -#> Computing WRES and npde . -#> Plotting npde</div><div class='img'><img src='saem-3.png' alt='' width='700' height='433' /></div><div class='output co'>#> --------------------------------------------- -#> Distribution of npde: -#>            mean= -0.01528   (SE= 0.098 ) -#>        variance= 0.862   (SE= 0.13 ) -#>        skewness= 0.5016  -#>        kurtosis= 1.18  -#> --------------------------------------------- -#>  -#> Statistical tests -#>   Wilcoxon signed rank test  : 0.679 -#>   Fisher variance test       : 0.36 -#>   SW test of normality       : 0.0855 . -#> Global adjusted p-value      : 0.257 -#> --- -#> Signif. codes: '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1  -#> ---------------------------------------------</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"vpc"</span><span class='op'>)</span> -</div><div class='output co'>#> Performing simulations under the model. -#> Plotting VPC -#> Method used for VPC: binning by quantiles on X , dividing into the following intervals -#>   Interval  Centered.On -#> 1 (-1,3]      1.3       -#> 2 (3,8]       7.4       -#> 3 (8,14]     13.2       -#> 4 (14,21]    20.5       -#> 5 (21,37.7]  29.5       -#> 6 (37.7,60]  50.4       -#> 7 (60,90]    76.6       -#> 8 (90,120]  109.0       -#> 9 (120,180] 156.0      </div><div class='img'><img src='saem-4.png' alt='' width='700' height='433' /></div><div class='input'> +#> <span class='message'>  please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='output co'>#> <span class='message'></span> +#> <span class='message'>Attaching package: ‘saemix’</span></div><div class='output co'>#> <span class='message'>The following object is masked from ‘package:RxODE’:</span> +#> <span class='message'></span> +#> <span class='message'>    phi</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>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'>$</span><span class='va'>so</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in compare.saemix(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so): object 'f_saem_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"individual.fit"</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"npde"</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"vpc"</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span></div><div class='input'>  <span class='va'>f_mmkin_parent_tc</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>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 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> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:55 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:42:00 2021"</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</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 class='op'>)</span> -</div><div class='output co'>#> <span class='error'>Error in compare.saemix(list(f_saem_fomc$so, f_saem_fomc_tc$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>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> +</div><div class='output co'>#> <span class='error'>Error in compare.saemix(f_saem_fomc$so, f_saem_fomc_tc$so): object 'f_saem_fomc' not found</span></div><div class='input'>  <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>,    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>  </div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fomc_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'>"FOMC"</span>, <span class='st'>"A1"</span><span class='op'>)</span>, @@ -345,314 +326,12 @@ using <a href='mmkin.html'>mmkin</a>.</p>  <span class='co'># When using the analytical solutions written for mkin this took around</span>  <span class='co'># four minutes</span>  <span class='va'>f_saem_sfo_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:42:02 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:42:07 2021"</div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> -</div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:42:08 2021" -#> .... -#>     Minimisation finished -#> [1] "Mon Jan 25 14:42:17 2021"</div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='warning'>Warning: argument is not a function</span></div><div class='output co'>#> <span class='message'> </span></div><div class='output co'>#> <span class='error'>Error in rxModelVars_(obj): Not compatible with STRSXP: [type=NULL].</span></div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span>  <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span> -</div><div class='output co'>#> Kinetic nonlinear mixed-effects model fit by SAEM -#> Structural model: -#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * -#>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) -#>            * parent -#> d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) -#>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * -#>            exp(-k2 * time))) * parent - k_A1 * A1 -#>  -#> Data: -#> 170 observations of 2 variable(s) grouped in 5 datasets -#>  -#> Likelihood computed by importance sampling -#>     AIC   BIC logLik -#>   841.6 836.5 -407.8 -#>  -#> Fitted parameters: -#>                     estimate    lower   upper -#> parent_0            93.76647 91.15312 96.3798 -#> log_k_A1            -6.13235 -8.45788 -3.8068 -#> f_parent_qlogis     -0.97364 -1.36940 -0.5779 -#> log_k1              -2.53176 -3.80372 -1.2598 -#> log_k2              -3.58667 -5.29524 -1.8781 -#> g_qlogis             0.01238 -1.07968  1.1044 -#> Var.parent_0         7.61106 -3.34955 18.5717 -#> Var.log_k_A1         4.64679 -2.73133 12.0249 -#> Var.f_parent_qlogis  0.19693 -0.05498  0.4488 -#> Var.log_k1           2.01717 -0.51980  4.5542 -#> Var.log_k2           3.63412 -0.92964  8.1979 -#> Var.g_qlogis         0.20045 -0.97425  1.3751 -#> a.1                  1.88335  1.66636  2.1004 -#> SD.parent_0          2.75881  0.77234  4.7453 -#> SD.log_k_A1          2.15564  0.44429  3.8670 -#> SD.f_parent_qlogis   0.44377  0.15994  0.7276 -#> SD.log_k1            1.42027  0.52714  2.3134 -#> SD.log_k2            1.90634  0.70934  3.1033 -#> SD.g_qlogis          0.44771 -0.86417  1.7596</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span> -</div><div class='img'><img src='saem-5.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>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> -</div><div class='output co'>#> saemix version used for fitting:      3.1.9000  -#> mkin version used for pre-fitting:  0.9.50.4  -#> R version used for fitting:         4.0.3  -#> Date of fit:     Mon Jan 25 14:42:18 2021  -#> Date of summary: Mon Jan 25 14:42:18 2021  -#>  -#> Equations: -#> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * -#>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) -#>            * parent -#> d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) -#>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * -#>            exp(-k2 * time))) * parent - k_A1 * A1 -#>  -#> Data: -#> 170 observations of 2 variable(s) grouped in 5 datasets -#>  -#> Model predictions using solution type analytical  -#>  -#> Fitted in 9.954 s using 300, 100 iterations -#>  -#> Variance model: Constant variance  -#>  -#> Mean of starting values for individual parameters: -#>        parent_0        log_k_A1 f_parent_qlogis          log_k1          log_k2  -#>         93.8102         -9.7647         -0.9711         -1.8799         -4.2708  -#>        g_qlogis  -#>          0.1356  -#>  -#> Fixed degradation parameter values: -#> None -#>  -#> Results: -#>  -#> Likelihood computed by importance sampling -#>     AIC   BIC logLik -#>   841.6 836.5 -407.8 -#>  -#> Optimised parameters: -#>                     est.  lower   upper -#> parent_0        93.76647 91.153 96.3798 -#> log_k_A1        -6.13235 -8.458 -3.8068 -#> f_parent_qlogis -0.97364 -1.369 -0.5779 -#> log_k1          -2.53176 -3.804 -1.2598 -#> log_k2          -3.58667 -5.295 -1.8781 -#> g_qlogis         0.01238 -1.080  1.1044 -#>  -#> Correlation:  -#>                 prnt_0 lg__A1 f_prn_ log_k1 log_k2 -#> log_k_A1        -0.013                             -#> f_parent_qlogis -0.025  0.050                      -#> log_k1           0.030  0.000 -0.005               -#> log_k2           0.010  0.005 -0.003  0.032        -#> g_qlogis        -0.063 -0.015  0.010 -0.167 -0.177 -#>  -#> Random effects: -#>                      est.   lower  upper -#> SD.parent_0        2.7588  0.7723 4.7453 -#> SD.log_k_A1        2.1556  0.4443 3.8670 -#> SD.f_parent_qlogis 0.4438  0.1599 0.7276 -#> SD.log_k1          1.4203  0.5271 2.3134 -#> SD.log_k2          1.9063  0.7093 3.1033 -#> SD.g_qlogis        0.4477 -0.8642 1.7596 -#>  -#> Variance model: -#>      est. lower upper -#> a.1 1.883 1.666   2.1 -#>  -#> Backtransformed parameters: -#>                     est.     lower    upper -#> parent_0       93.766473 9.115e+01 96.37983 -#> k_A1            0.002171 2.122e-04  0.02222 -#> f_parent_to_A1  0.274156 2.027e-01  0.35942 -#> k1              0.079519 2.229e-02  0.28371 -#> k2              0.027691 5.015e-03  0.15288 -#> g               0.503095 2.536e-01  0.75109 -#>  -#> Resulting formation fractions: -#>                 ff -#> parent_A1   0.2742 -#> parent_sink 0.7258 -#>  -#> Estimated disappearance times: -#>          DT50    DT90 DT50back DT50_k1 DT50_k2 -#> parent  14.11   59.53    17.92   8.717   25.03 -#> A1     319.21 1060.38       NA      NA      NA -#>  -#> Data: -#>          ds   name time observed predicted residual   std standardized -#>   Dataset 6 parent    0     97.2  95.79523 -1.40477 1.883    -0.745888 -#>   Dataset 6 parent    0     96.4  95.79523 -0.60477 1.883    -0.321114 -#>   Dataset 6 parent    3     71.1  71.32042  0.22042 1.883     0.117035 -#>   Dataset 6 parent    3     69.2  71.32042  2.12042 1.883     1.125873 -#>   Dataset 6 parent    6     58.1  56.45256 -1.64744 1.883    -0.874739 -#>   Dataset 6 parent    6     56.6  56.45256 -0.14744 1.883    -0.078288 -#>   Dataset 6 parent   10     44.4  44.48523  0.08523 1.883     0.045256 -#>   Dataset 6 parent   10     43.4  44.48523  1.08523 1.883     0.576224 -#>   Dataset 6 parent   20     33.3  29.75774 -3.54226 1.883    -1.880826 -#>   Dataset 6 parent   20     29.2  29.75774  0.55774 1.883     0.296141 -#>   Dataset 6 parent   34     17.6  19.35710  1.75710 1.883     0.932966 -#>   Dataset 6 parent   34     18.0  19.35710  1.35710 1.883     0.720578 -#>   Dataset 6 parent   55     10.5  10.48443 -0.01557 1.883    -0.008266 -#>   Dataset 6 parent   55      9.3  10.48443  1.18443 1.883     0.628895 -#>   Dataset 6 parent   90      4.5   3.78622 -0.71378 1.883    -0.378995 -#>   Dataset 6 parent   90      4.7   3.78622 -0.91378 1.883    -0.485188 -#>   Dataset 6 parent  112      3.0   1.99608 -1.00392 1.883    -0.533048 -#>   Dataset 6 parent  112      3.4   1.99608 -1.40392 1.883    -0.745435 -#>   Dataset 6 parent  132      2.3   1.11539 -1.18461 1.883    -0.628990 -#>   Dataset 6 parent  132      2.7   1.11539 -1.58461 1.883    -0.841377 -#>   Dataset 6     A1    3      4.3   4.66132  0.36132 1.883     0.191849 -#>   Dataset 6     A1    3      4.6   4.66132  0.06132 1.883     0.032559 -#>   Dataset 6     A1    6      7.0   7.41087  0.41087 1.883     0.218157 -#>   Dataset 6     A1    6      7.2   7.41087  0.21087 1.883     0.111964 -#>   Dataset 6     A1   10      8.2   9.50878  1.30878 1.883     0.694921 -#>   Dataset 6     A1   10      8.0   9.50878  1.50878 1.883     0.801114 -#>   Dataset 6     A1   20     11.0  11.69902  0.69902 1.883     0.371157 -#>   Dataset 6     A1   20     13.7  11.69902 -2.00098 1.883    -1.062455 -#>   Dataset 6     A1   34     11.5  12.67784  1.17784 1.883     0.625396 -#>   Dataset 6     A1   34     12.7  12.67784 -0.02216 1.883    -0.011765 -#>   Dataset 6     A1   55     14.9  12.78556 -2.11444 1.883    -1.122701 -#>   Dataset 6     A1   55     14.5  12.78556 -1.71444 1.883    -0.910314 -#>   Dataset 6     A1   90     12.1  11.52954 -0.57046 1.883    -0.302898 -#>   Dataset 6     A1   90     12.3  11.52954 -0.77046 1.883    -0.409092 -#>   Dataset 6     A1  112      9.9  10.43825  0.53825 1.883     0.285793 -#>   Dataset 6     A1  112     10.2  10.43825  0.23825 1.883     0.126503 -#>   Dataset 6     A1  132      8.8   9.42830  0.62830 1.883     0.333609 -#>   Dataset 6     A1  132      7.8   9.42830  1.62830 1.883     0.864577 -#>   Dataset 7 parent    0     93.6  90.91477 -2.68523 1.883    -1.425772 -#>   Dataset 7 parent    0     92.3  90.91477 -1.38523 1.883    -0.735514 -#>   Dataset 7 parent    3     87.0  84.76874 -2.23126 1.883    -1.184726 -#>   Dataset 7 parent    3     82.2  84.76874  2.56874 1.883     1.363919 -#>   Dataset 7 parent    7     74.0  77.62735  3.62735 1.883     1.926003 -#>   Dataset 7 parent    7     73.9  77.62735  3.72735 1.883     1.979100 -#>   Dataset 7 parent   14     64.2  67.52266  3.32266 1.883     1.764224 -#>   Dataset 7 parent   14     69.5  67.52266 -1.97734 1.883    -1.049904 -#>   Dataset 7 parent   30     54.0  52.41949 -1.58051 1.883    -0.839202 -#>   Dataset 7 parent   30     54.6  52.41949 -2.18051 1.883    -1.157783 -#>   Dataset 7 parent   60     41.1  39.36582 -1.73418 1.883    -0.920794 -#>   Dataset 7 parent   60     38.4  39.36582  0.96582 1.883     0.512818 -#>   Dataset 7 parent   90     32.5  33.75388  1.25388 1.883     0.665771 -#>   Dataset 7 parent   90     35.5  33.75388 -1.74612 1.883    -0.927132 -#>   Dataset 7 parent  120     28.1  30.41716  2.31716 1.883     1.230335 -#>   Dataset 7 parent  120     29.0  30.41716  1.41716 1.883     0.752464 -#>   Dataset 7 parent  180     26.5  25.66046 -0.83954 1.883    -0.445767 -#>   Dataset 7 parent  180     27.6  25.66046 -1.93954 1.883    -1.029832 -#>   Dataset 7     A1    3      3.9   2.69355 -1.20645 1.883    -0.640585 -#>   Dataset 7     A1    3      3.1   2.69355 -0.40645 1.883    -0.215811 -#>   Dataset 7     A1    7      6.9   5.81807 -1.08193 1.883    -0.574470 -#>   Dataset 7     A1    7      6.6   5.81807 -0.78193 1.883    -0.415180 -#>   Dataset 7     A1   14     10.4  10.22529 -0.17471 1.883    -0.092767 -#>   Dataset 7     A1   14      8.3  10.22529  1.92529 1.883     1.022265 -#>   Dataset 7     A1   30     14.4  16.75484  2.35484 1.883     1.250345 -#>   Dataset 7     A1   30     13.7  16.75484  3.05484 1.883     1.622022 -#>   Dataset 7     A1   60     22.1  22.22540  0.12540 1.883     0.066583 -#>   Dataset 7     A1   60     22.3  22.22540 -0.07460 1.883    -0.039610 -#>   Dataset 7     A1   90     27.5  24.38799 -3.11201 1.883    -1.652376 -#>   Dataset 7     A1   90     25.4  24.38799 -1.01201 1.883    -0.537344 -#>   Dataset 7     A1  120     28.0  25.53294 -2.46706 1.883    -1.309927 -#>   Dataset 7     A1  120     26.6  25.53294 -1.06706 1.883    -0.566572 -#>   Dataset 7     A1  180     25.8  26.94943  1.14943 1.883     0.610309 -#>   Dataset 7     A1  180     25.3  26.94943  1.64943 1.883     0.875793 -#>   Dataset 8 parent    0     91.9  91.53246 -0.36754 1.883    -0.195151 -#>   Dataset 8 parent    0     90.8  91.53246  0.73246 1.883     0.388914 -#>   Dataset 8 parent    1     64.9  67.73197  2.83197 1.883     1.503686 -#>   Dataset 8 parent    1     66.2  67.73197  1.53197 1.883     0.813428 -#>   Dataset 8 parent    3     43.5  41.58448 -1.91552 1.883    -1.017081 -#>   Dataset 8 parent    3     44.1  41.58448 -2.51552 1.883    -1.335661 -#>   Dataset 8 parent    8     18.3  19.62286  1.32286 1.883     0.702395 -#>   Dataset 8 parent    8     18.1  19.62286  1.52286 1.883     0.808589 -#>   Dataset 8 parent   14     10.2  10.77819  0.57819 1.883     0.306999 -#>   Dataset 8 parent   14     10.8  10.77819 -0.02181 1.883    -0.011582 -#>   Dataset 8 parent   27      4.9   3.26977 -1.63023 1.883    -0.865599 -#>   Dataset 8 parent   27      3.3   3.26977 -0.03023 1.883    -0.016051 -#>   Dataset 8 parent   48      1.6   0.48024 -1.11976 1.883    -0.594557 -#>   Dataset 8 parent   48      1.5   0.48024 -1.01976 1.883    -0.541460 -#>   Dataset 8 parent   70      1.1   0.06438 -1.03562 1.883    -0.549881 -#>   Dataset 8 parent   70      0.9   0.06438 -0.83562 1.883    -0.443688 -#>   Dataset 8     A1    1      9.6   7.61539 -1.98461 1.883    -1.053761 -#>   Dataset 8     A1    1      7.7   7.61539 -0.08461 1.883    -0.044923 -#>   Dataset 8     A1    3     15.0  15.47954  0.47954 1.883     0.254622 -#>   Dataset 8     A1    3     15.1  15.47954  0.37954 1.883     0.201525 -#>   Dataset 8     A1    8     21.2  20.22616 -0.97384 1.883    -0.517076 -#>   Dataset 8     A1    8     21.1  20.22616 -0.87384 1.883    -0.463979 -#>   Dataset 8     A1   14     19.7  20.00067  0.30067 1.883     0.159645 -#>   Dataset 8     A1   14     18.9  20.00067  1.10067 1.883     0.584419 -#>   Dataset 8     A1   27     17.5  16.38142 -1.11858 1.883    -0.593929 -#>   Dataset 8     A1   27     15.9  16.38142  0.48142 1.883     0.255619 -#>   Dataset 8     A1   48      9.5  10.25357  0.75357 1.883     0.400123 -#>   Dataset 8     A1   48      9.8  10.25357  0.45357 1.883     0.240833 -#>   Dataset 8     A1   70      6.2   5.95728 -0.24272 1.883    -0.128878 -#>   Dataset 8     A1   70      6.1   5.95728 -0.14272 1.883    -0.075781 -#>   Dataset 9 parent    0     99.8  97.47274 -2.32726 1.883    -1.235697 -#>   Dataset 9 parent    0     98.3  97.47274 -0.82726 1.883    -0.439246 -#>   Dataset 9 parent    1     77.1  79.72257  2.62257 1.883     1.392500 -#>   Dataset 9 parent    1     77.2  79.72257  2.52257 1.883     1.339404 -#>   Dataset 9 parent    3     59.0  56.26497 -2.73503 1.883    -1.452212 -#>   Dataset 9 parent    3     58.1  56.26497 -1.83503 1.883    -0.974342 -#>   Dataset 9 parent    8     27.4  31.66985  4.26985 1.883     2.267151 -#>   Dataset 9 parent    8     29.2  31.66985  2.46985 1.883     1.311410 -#>   Dataset 9 parent   14     19.1  22.39789  3.29789 1.883     1.751071 -#>   Dataset 9 parent   14     29.6  22.39789 -7.20211 1.883    -3.824090 -#>   Dataset 9 parent   27     10.1  14.21758  4.11758 1.883     2.186301 -#>   Dataset 9 parent   27     18.2  14.21758 -3.98242 1.883    -2.114537 -#>   Dataset 9 parent   48      4.5   7.27921  2.77921 1.883     1.475671 -#>   Dataset 9 parent   48      9.1   7.27921 -1.82079 1.883    -0.966780 -#>   Dataset 9 parent   70      2.3   3.61470  1.31470 1.883     0.698065 -#>   Dataset 9 parent   70      2.9   3.61470  0.71470 1.883     0.379485 -#>   Dataset 9 parent   91      2.0   1.85303 -0.14697 1.883    -0.078038 -#>   Dataset 9 parent   91      1.8   1.85303  0.05303 1.883     0.028155 -#>   Dataset 9 parent  120      2.0   0.73645 -1.26355 1.883    -0.670906 -#>   Dataset 9 parent  120      2.2   0.73645 -1.46355 1.883    -0.777099 -#>   Dataset 9     A1    1      4.2   3.87843 -0.32157 1.883    -0.170743 -#>   Dataset 9     A1    1      3.9   3.87843 -0.02157 1.883    -0.011453 -#>   Dataset 9     A1    3      7.4   8.90535  1.50535 1.883     0.799291 -#>   Dataset 9     A1    3      7.9   8.90535  1.00535 1.883     0.533807 -#>   Dataset 9     A1    8     14.5  13.75172 -0.74828 1.883    -0.397312 -#>   Dataset 9     A1    8     13.7  13.75172  0.05172 1.883     0.027462 -#>   Dataset 9     A1   14     14.2  14.97541  0.77541 1.883     0.411715 -#>   Dataset 9     A1   14     12.2  14.97541  2.77541 1.883     1.473650 -#>   Dataset 9     A1   27     13.7  14.94728  1.24728 1.883     0.662266 -#>   Dataset 9     A1   27     13.2  14.94728  1.74728 1.883     0.927750 -#>   Dataset 9     A1   48     13.6  13.66078  0.06078 1.883     0.032272 -#>   Dataset 9     A1   48     15.4  13.66078 -1.73922 1.883    -0.923470 -#>   Dataset 9     A1   70     10.4  11.84899  1.44899 1.883     0.769365 -#>   Dataset 9     A1   70     11.6  11.84899  0.24899 1.883     0.132204 -#>   Dataset 9     A1   91     10.0  10.09177  0.09177 1.883     0.048727 -#>   Dataset 9     A1   91      9.5  10.09177  0.59177 1.883     0.314211 -#>   Dataset 9     A1  120      9.1   7.91379 -1.18621 1.883    -0.629841 -#>   Dataset 9     A1  120      9.0   7.91379 -1.08621 1.883    -0.576745 -#>  Dataset 10 parent    0     96.1  93.65257 -2.44743 1.883    -1.299505 -#>  Dataset 10 parent    0     94.3  93.65257 -0.64743 1.883    -0.343763 -#>  Dataset 10 parent    8     73.9  77.85906  3.95906 1.883     2.102132 -#>  Dataset 10 parent    8     73.9  77.85906  3.95906 1.883     2.102132 -#>  Dataset 10 parent   14     69.4  70.17143  0.77143 1.883     0.409606 -#>  Dataset 10 parent   14     73.1  70.17143 -2.92857 1.883    -1.554974 -#>  Dataset 10 parent   21     65.6  63.99188 -1.60812 1.883    -0.853862 -#>  Dataset 10 parent   21     65.3  63.99188 -1.30812 1.883    -0.694572 -#>  Dataset 10 parent   41     55.9  54.64292 -1.25708 1.883    -0.667467 -#>  Dataset 10 parent   41     54.4  54.64292  0.24292 1.883     0.128985 -#>  Dataset 10 parent   63     47.0  49.61303  2.61303 1.883     1.387433 -#>  Dataset 10 parent   63     49.3  49.61303  0.31303 1.883     0.166207 -#>  Dataset 10 parent   91     44.7  45.17807  0.47807 1.883     0.253839 -#>  Dataset 10 parent   91     46.7  45.17807 -1.52193 1.883    -0.808096 -#>  Dataset 10 parent  120     42.1  41.27970 -0.82030 1.883    -0.435552 -#>  Dataset 10 parent  120     41.3  41.27970 -0.02030 1.883    -0.010778 -#>  Dataset 10     A1    8      3.3   3.99294  0.69294 1.883     0.367929 -#>  Dataset 10     A1    8      3.4   3.99294  0.59294 1.883     0.314832 -#>  Dataset 10     A1   14      3.9   5.92756  2.02756 1.883     1.076570 -#>  Dataset 10     A1   14      2.9   5.92756  3.02756 1.883     1.607538 -#>  Dataset 10     A1   21      6.4   7.47313  1.07313 1.883     0.569799 -#>  Dataset 10     A1   21      7.2   7.47313  0.27313 1.883     0.145025 -#>  Dataset 10     A1   41      9.1   9.76819  0.66819 1.883     0.354786 -#>  Dataset 10     A1   41      8.5   9.76819  1.26819 1.883     0.673367 -#>  Dataset 10     A1   63     11.7  10.94733 -0.75267 1.883    -0.399643 -#>  Dataset 10     A1   63     12.0  10.94733 -1.05267 1.883    -0.558933 -#>  Dataset 10     A1   91     13.3  11.93773 -1.36227 1.883    -0.723321 -#>  Dataset 10     A1   91     13.2  11.93773 -1.26227 1.883    -0.670224 -#>  Dataset 10     A1  120     14.3  12.77666 -1.52334 1.883    -0.808847 -#>  Dataset 10     A1  120     12.1  12.77666  0.67666 1.883     0.359282</div><div class='input'> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'print': object 'f_saem_dfop_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_dfop_sfo' not found</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>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> +</div><div class='output co'>#> <span class='error'>Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found</span></div><div class='input'>  <span class='co'># The following takes about 6 minutes</span>  <span class='co'>#f_saem_dfop_sfo_deSolve <- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span>  <span class='co'>#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span> | 
