diff options
Diffstat (limited to 'docs/dev/reference/saem.html')
| -rw-r--r-- | docs/dev/reference/saem.html | 388 | 
1 files changed, 16 insertions, 372 deletions
| diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html index 8d986126..83a62359 100644 --- a/docs/dev/reference/saem.html +++ b/docs/dev/reference/saem.html @@ -287,28 +287,12 @@ 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] "Thu Sep 16 14:34:42 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:34:43 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] "Thu Sep 16 14:34:45 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:34:47 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] "Thu Sep 16 14:34:47 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:34:49 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] "Thu Sep 16 14:34:49 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:34:52 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> @@ -317,53 +301,15 @@ using <a href='mmkin.html'>mmkin</a>.</p>  #> <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'>$</span><span class='va'>so</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='message'>Likelihoods calculated by importance sampling</span></div><div class='output co'>#>        AIC      BIC -#> 1 624.2484 622.2956 -#> 2 467.7096 464.9757 -#> 3 495.4373 491.9222</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</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'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"vpc"</span><span class='op'>)</span> -</div><div class='output co'>#> Performing simulations under the model. -#> Plotting VPC -#> Method used for VPC: binning by quantiles on X , dividing into the following intervals -#>   Interval  Centered.On -#> 1 (-1,3]      1.3       -#> 2 (3,8]       7.4       -#> 3 (8,14]     13.2       -#> 4 (14,21]    20.5       -#> 5 (21,37.7]  29.5       -#> 6 (37.7,60]  50.4       -#> 7 (60,90]    76.6       -#> 8 (90,120]  109.0       -#> 9 (120,180] 156.0      </div><div class='img'><img src='saem-4.png' alt='' width='700' height='433' /></div><div class='input'> +</div><div class='output co'>#> <span class='error'>Error in compare.saemix(f_saem_sfo$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] "Thu Sep 16 14:34:55 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:35:00 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='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='message'>Likelihoods calculated by importance sampling</span></div><div class='output co'>#>        AIC      BIC -#> 1 467.7096 464.9757 -#> 2 469.6831 466.5586</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>, @@ -380,314 +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] "Thu Sep 16 14:35:03 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:35:08 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] "Thu Sep 16 14:35:08 2021" -#> .... -#>     Minimisation finished -#> [1] "Thu Sep 16 14:35:17 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 -#>   839.6 834.6 -406.8 -#>  -#> Fitted parameters: -#>                     estimate    lower   upper -#> parent_0            93.80521 91.22487 96.3856 -#> log_k_A1            -6.06244 -8.26517 -3.8597 -#> f_parent_qlogis     -0.97319 -1.37024 -0.5761 -#> log_k1              -2.55394 -4.00815 -1.0997 -#> log_k2              -3.47160 -5.18763 -1.7556 -#> g_qlogis            -0.09324 -1.42737  1.2409 -#> Var.parent_0         7.42157 -3.25683 18.1000 -#> Var.log_k_A1         4.22850 -2.46339 10.9204 -#> Var.f_parent_qlogis  0.19803 -0.05541  0.4515 -#> Var.log_k1           2.28644 -0.86079  5.4337 -#> Var.log_k2           3.35626 -1.14639  7.8589 -#> Var.g_qlogis         0.20084 -1.32516  1.7268 -#> a.1                  1.88399  1.66794  2.1000 -#> SD.parent_0          2.72425  0.76438  4.6841 -#> SD.log_k_A1          2.05633  0.42919  3.6835 -#> SD.f_parent_qlogis   0.44501  0.16025  0.7298 -#> SD.log_k1            1.51210  0.47142  2.5528 -#> SD.log_k2            1.83201  0.60313  3.0609 -#> SD.g_qlogis          0.44816 -1.25437  2.1507</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:  1.1.0  -#> R version used for fitting:         4.1.1  -#> Date of fit:     Thu Sep 16 14:35:18 2021  -#> Date of summary: Thu Sep 16 14:35:18 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 9.349 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         -5.3734         -0.9711         -1.8799         -4.2708  -#>        g_qlogis  -#>          0.1356  -#>  -#> Fixed degradation parameter values: -#> None -#>  -#> Results: -#>  -#> Likelihood computed by importance sampling -#>     AIC   BIC logLik -#>   839.6 834.6 -406.8 -#>  -#> Optimised parameters: -#>                     est.  lower   upper -#> parent_0        93.80521 91.225 96.3856 -#> log_k_A1        -6.06244 -8.265 -3.8597 -#> f_parent_qlogis -0.97319 -1.370 -0.5761 -#> log_k1          -2.55394 -4.008 -1.0997 -#> log_k2          -3.47160 -5.188 -1.7556 -#> g_qlogis        -0.09324 -1.427  1.2409 -#>  -#> Correlation:  -#>                 prnt_0 lg__A1 f_prn_ log_k1 log_k2 -#> log_k_A1        -0.014                             -#> f_parent_qlogis -0.025  0.054                      -#> log_k1           0.027 -0.003 -0.005               -#> log_k2           0.011  0.005 -0.002 -0.070        -#> g_qlogis        -0.067 -0.009  0.011 -0.189 -0.171 -#>  -#> Random effects: -#>                      est.   lower  upper -#> SD.parent_0        2.7243  0.7644 4.6841 -#> SD.log_k_A1        2.0563  0.4292 3.6835 -#> SD.f_parent_qlogis 0.4450  0.1602 0.7298 -#> SD.log_k1          1.5121  0.4714 2.5528 -#> SD.log_k2          1.8320  0.6031 3.0609 -#> SD.g_qlogis        0.4482 -1.2544 2.1507 -#>  -#> Variance model: -#>      est. lower upper -#> a.1 1.884 1.668   2.1 -#>  -#> Backtransformed parameters: -#>                     est.     lower    upper -#> parent_0       93.805214 9.122e+01 96.38556 -#> k_A1            0.002329 2.573e-04  0.02107 -#> f_parent_to_A1  0.274245 2.026e-01  0.35982 -#> k1              0.077775 1.817e-02  0.33296 -#> k2              0.031067 5.585e-03  0.17281 -#> g               0.476707 1.935e-01  0.77572 -#>  -#> Resulting formation fractions: -#>                 ff -#> parent_A1   0.2742 -#> parent_sink 0.7258 -#>  -#> Estimated disappearance times: -#>          DT50  DT90 DT50back DT50_k1 DT50_k2 -#> parent  13.96  55.4    16.68   8.912   22.31 -#> A1     297.65 988.8       NA      NA      NA -#>  -#> Data: -#>          ds   name time observed predicted  residual   std standardized -#>   Dataset 6 parent    0     97.2  95.75408  1.445920 1.884     0.767479 -#>   Dataset 6 parent    0     96.4  95.75408  0.645920 1.884     0.342847 -#>   Dataset 6 parent    3     71.1  71.22466 -0.124662 1.884    -0.066169 -#>   Dataset 6 parent    3     69.2  71.22466 -2.024662 1.884    -1.074669 -#>   Dataset 6 parent    6     58.1  56.42290  1.677100 1.884     0.890187 -#>   Dataset 6 parent    6     56.6  56.42290  0.177100 1.884     0.094003 -#>   Dataset 6 parent   10     44.4  44.55255 -0.152554 1.884    -0.080974 -#>   Dataset 6 parent   10     43.4  44.55255 -1.152554 1.884    -0.611763 -#>   Dataset 6 parent   20     33.3  29.88846  3.411537 1.884     1.810807 -#>   Dataset 6 parent   20     29.2  29.88846 -0.688463 1.884    -0.365429 -#>   Dataset 6 parent   34     17.6  19.40826 -1.808260 1.884    -0.959805 -#>   Dataset 6 parent   34     18.0  19.40826 -1.408260 1.884    -0.747489 -#>   Dataset 6 parent   55     10.5  10.45560  0.044398 1.884     0.023566 -#>   Dataset 6 parent   55      9.3  10.45560 -1.155602 1.884    -0.613381 -#>   Dataset 6 parent   90      4.5   3.74026  0.759744 1.884     0.403264 -#>   Dataset 6 parent   90      4.7   3.74026  0.959744 1.884     0.509421 -#>   Dataset 6 parent  112      3.0   1.96015  1.039853 1.884     0.551943 -#>   Dataset 6 parent  112      3.4   1.96015  1.439853 1.884     0.764258 -#>   Dataset 6 parent  132      2.3   1.08940  1.210603 1.884     0.642575 -#>   Dataset 6 parent  132      2.7   1.08940  1.610603 1.884     0.854890 -#>   Dataset 6     A1    3      4.3   4.75601 -0.456009 1.884    -0.242045 -#>   Dataset 6     A1    3      4.6   4.75601 -0.156009 1.884    -0.082808 -#>   Dataset 6     A1    6      7.0   7.53839 -0.538391 1.884    -0.285772 -#>   Dataset 6     A1    6      7.2   7.53839 -0.338391 1.884    -0.179614 -#>   Dataset 6     A1   10      8.2   9.64728 -1.447276 1.884    -0.768198 -#>   Dataset 6     A1   10      8.0   9.64728 -1.647276 1.884    -0.874356 -#>   Dataset 6     A1   20     11.0  11.83954 -0.839545 1.884    -0.445621 -#>   Dataset 6     A1   20     13.7  11.83954  1.860455 1.884     0.987509 -#>   Dataset 6     A1   34     11.5  12.81233 -1.312327 1.884    -0.696569 -#>   Dataset 6     A1   34     12.7  12.81233 -0.112327 1.884    -0.059622 -#>   Dataset 6     A1   55     14.9  12.87919  2.020809 1.884     1.072624 -#>   Dataset 6     A1   55     14.5  12.87919  1.620809 1.884     0.860308 -#>   Dataset 6     A1   90     12.1  11.52464  0.575364 1.884     0.305397 -#>   Dataset 6     A1   90     12.3  11.52464  0.775364 1.884     0.411555 -#>   Dataset 6     A1  112      9.9  10.37694 -0.476938 1.884    -0.253153 -#>   Dataset 6     A1  112     10.2  10.37694 -0.176938 1.884    -0.093917 -#>   Dataset 6     A1  132      8.8   9.32474 -0.524742 1.884    -0.278528 -#>   Dataset 6     A1  132      7.8   9.32474 -1.524742 1.884    -0.809317 -#>   Dataset 7 parent    0     93.6  90.16918  3.430816 1.884     1.821040 -#>   Dataset 7 parent    0     92.3  90.16918  2.130816 1.884     1.131014 -#>   Dataset 7 parent    3     87.0  84.05442  2.945583 1.884     1.563483 -#>   Dataset 7 parent    3     82.2  84.05442 -1.854417 1.884    -0.984304 -#>   Dataset 7 parent    7     74.0  77.00960 -3.009596 1.884    -1.597461 -#>   Dataset 7 parent    7     73.9  77.00960 -3.109596 1.884    -1.650540 -#>   Dataset 7 parent   14     64.2  67.15684 -2.956840 1.884    -1.569459 -#>   Dataset 7 parent   14     69.5  67.15684  2.343160 1.884     1.243724 -#>   Dataset 7 parent   30     54.0  52.66290  1.337101 1.884     0.709719 -#>   Dataset 7 parent   30     54.6  52.66290  1.937101 1.884     1.028192 -#>   Dataset 7 parent   60     41.1  40.04995  1.050050 1.884     0.557355 -#>   Dataset 7 parent   60     38.4  40.04995 -1.649950 1.884    -0.875775 -#>   Dataset 7 parent   90     32.5  34.09675 -1.596746 1.884    -0.847535 -#>   Dataset 7 parent   90     35.5  34.09675  1.403254 1.884     0.744832 -#>   Dataset 7 parent  120     28.1  30.12281 -2.022814 1.884    -1.073688 -#>   Dataset 7 parent  120     29.0  30.12281 -1.122814 1.884    -0.595977 -#>   Dataset 7 parent  180     26.5  24.10888  2.391123 1.884     1.269182 -#>   Dataset 7 parent  180     27.6  24.10888  3.491123 1.884     1.853050 -#>   Dataset 7     A1    3      3.9   2.77684  1.123161 1.884     0.596161 -#>   Dataset 7     A1    3      3.1   2.77684  0.323161 1.884     0.171530 -#>   Dataset 7     A1    7      6.9   5.96705  0.932950 1.884     0.495200 -#>   Dataset 7     A1    7      6.6   5.96705  0.632950 1.884     0.335963 -#>   Dataset 7     A1   14     10.4  10.40535 -0.005348 1.884    -0.002839 -#>   Dataset 7     A1   14      8.3  10.40535 -2.105348 1.884    -1.117496 -#>   Dataset 7     A1   30     14.4  16.83722 -2.437216 1.884    -1.293648 -#>   Dataset 7     A1   30     13.7  16.83722 -3.137216 1.884    -1.665200 -#>   Dataset 7     A1   60     22.1  22.15018 -0.050179 1.884    -0.026635 -#>   Dataset 7     A1   60     22.3  22.15018  0.149821 1.884     0.079523 -#>   Dataset 7     A1   90     27.5  24.36286  3.137143 1.884     1.665161 -#>   Dataset 7     A1   90     25.4  24.36286  1.037143 1.884     0.550504 -#>   Dataset 7     A1  120     28.0  25.64064  2.359361 1.884     1.252323 -#>   Dataset 7     A1  120     26.6  25.64064  0.959361 1.884     0.509218 -#>   Dataset 7     A1  180     25.8  27.25486 -1.454858 1.884    -0.772223 -#>   Dataset 7     A1  180     25.3  27.25486 -1.954858 1.884    -1.037617 -#>   Dataset 8 parent    0     91.9  91.72652  0.173479 1.884     0.092081 -#>   Dataset 8 parent    0     90.8  91.72652 -0.926521 1.884    -0.491787 -#>   Dataset 8 parent    1     64.9  67.22810 -2.328104 1.884    -1.235732 -#>   Dataset 8 parent    1     66.2  67.22810 -1.028104 1.884    -0.545706 -#>   Dataset 8 parent    3     43.5  41.46375  2.036251 1.884     1.080820 -#>   Dataset 8 parent    3     44.1  41.46375  2.636251 1.884     1.399293 -#>   Dataset 8 parent    8     18.3  19.83597 -1.535968 1.884    -0.815275 -#>   Dataset 8 parent    8     18.1  19.83597 -1.735968 1.884    -0.921433 -#>   Dataset 8 parent   14     10.2  10.34793 -0.147927 1.884    -0.078518 -#>   Dataset 8 parent   14     10.8  10.34793  0.452073 1.884     0.239956 -#>   Dataset 8 parent   27      4.9   2.67641  2.223595 1.884     1.180260 -#>   Dataset 8 parent   27      3.3   2.67641  0.623595 1.884     0.330997 -#>   Dataset 8 parent   48      1.6   0.30218  1.297822 1.884     0.688870 -#>   Dataset 8 parent   48      1.5   0.30218  1.197822 1.884     0.635791 -#>   Dataset 8 parent   70      1.1   0.03075  1.069248 1.884     0.567545 -#>   Dataset 8 parent   70      0.9   0.03075  0.869248 1.884     0.461388 -#>   Dataset 8     A1    1      9.6   7.74066  1.859342 1.884     0.986918 -#>   Dataset 8     A1    1      7.7   7.74066 -0.040658 1.884    -0.021581 -#>   Dataset 8     A1    3     15.0  15.37549 -0.375495 1.884    -0.199309 -#>   Dataset 8     A1    3     15.1  15.37549 -0.275495 1.884    -0.146230 -#>   Dataset 8     A1    8     21.2  19.95900  1.241003 1.884     0.658711 -#>   Dataset 8     A1    8     21.1  19.95900  1.141003 1.884     0.605632 -#>   Dataset 8     A1   14     19.7  19.92898 -0.228978 1.884    -0.121539 -#>   Dataset 8     A1   14     18.9  19.92898 -1.028978 1.884    -0.546170 -#>   Dataset 8     A1   27     17.5  16.34046  1.159536 1.884     0.615469 -#>   Dataset 8     A1   27     15.9  16.34046 -0.440464 1.884    -0.233793 -#>   Dataset 8     A1   48      9.5  10.12131 -0.621313 1.884    -0.329786 -#>   Dataset 8     A1   48      9.8  10.12131 -0.321313 1.884    -0.170550 -#>   Dataset 8     A1   70      6.2   5.84753  0.352469 1.884     0.187087 -#>   Dataset 8     A1   70      6.1   5.84753  0.252469 1.884     0.134008 -#>   Dataset 9 parent    0     99.8  98.23600  1.564002 1.884     0.830155 -#>   Dataset 9 parent    0     98.3  98.23600  0.064002 1.884     0.033972 -#>   Dataset 9 parent    1     77.1  79.68007 -2.580074 1.884    -1.369475 -#>   Dataset 9 parent    1     77.2  79.68007 -2.480074 1.884    -1.316396 -#>   Dataset 9 parent    3     59.0  55.81142  3.188584 1.884     1.692465 -#>   Dataset 9 parent    3     58.1  55.81142  2.288584 1.884     1.214755 -#>   Dataset 9 parent    8     27.4  31.81995 -4.419948 1.884    -2.346060 -#>   Dataset 9 parent    8     29.2  31.81995 -2.619948 1.884    -1.390640 -#>   Dataset 9 parent   14     19.1  22.78328 -3.683282 1.884    -1.955046 -#>   Dataset 9 parent   14     29.6  22.78328  6.816718 1.884     3.618240 -#>   Dataset 9 parent   27     10.1  14.15172 -4.051720 1.884    -2.150609 -#>   Dataset 9 parent   27     18.2  14.15172  4.048280 1.884     2.148783 -#>   Dataset 9 parent   48      4.5   6.86094 -2.360941 1.884    -1.253162 -#>   Dataset 9 parent   48      9.1   6.86094  2.239059 1.884     1.188468 -#>   Dataset 9 parent   70      2.3   3.21580 -0.915798 1.884    -0.486096 -#>   Dataset 9 parent   70      2.9   3.21580 -0.315798 1.884    -0.167622 -#>   Dataset 9 parent   91      2.0   1.56010  0.439897 1.884     0.233492 -#>   Dataset 9 parent   91      1.8   1.56010  0.239897 1.884     0.127335 -#>   Dataset 9 parent  120      2.0   0.57458  1.425424 1.884     0.756600 -#>   Dataset 9 parent  120      2.2   0.57458  1.625424 1.884     0.862757 -#>   Dataset 9     A1    1      4.2   4.01796  0.182037 1.884     0.096623 -#>   Dataset 9     A1    1      3.9   4.01796 -0.117963 1.884    -0.062613 -#>   Dataset 9     A1    3      7.4   9.08527 -1.685270 1.884    -0.894523 -#>   Dataset 9     A1    3      7.9   9.08527 -1.185270 1.884    -0.629129 -#>   Dataset 9     A1    8     14.5  13.75054  0.749457 1.884     0.397804 -#>   Dataset 9     A1    8     13.7  13.75054 -0.050543 1.884    -0.026827 -#>   Dataset 9     A1   14     14.2  14.91180 -0.711804 1.884    -0.377818 -#>   Dataset 9     A1   14     12.2  14.91180 -2.711804 1.884    -1.439396 -#>   Dataset 9     A1   27     13.7  14.97813 -1.278129 1.884    -0.678417 -#>   Dataset 9     A1   27     13.2  14.97813 -1.778129 1.884    -0.943812 -#>   Dataset 9     A1   48     13.6  13.75574 -0.155745 1.884    -0.082668 -#>   Dataset 9     A1   48     15.4  13.75574  1.644255 1.884     0.872753 -#>   Dataset 9     A1   70     10.4  11.92861 -1.528608 1.884    -0.811369 -#>   Dataset 9     A1   70     11.6  11.92861 -0.328608 1.884    -0.174422 -#>   Dataset 9     A1   91     10.0  10.14395 -0.143947 1.884    -0.076405 -#>   Dataset 9     A1   91      9.5  10.14395 -0.643947 1.884    -0.341800 -#>   Dataset 9     A1  120      9.1   7.93869  1.161307 1.884     0.616409 -#>   Dataset 9     A1  120      9.0   7.93869  1.061307 1.884     0.563330 -#>  Dataset 10 parent    0     96.1  93.65914  2.440862 1.884     1.295583 -#>  Dataset 10 parent    0     94.3  93.65914  0.640862 1.884     0.340163 -#>  Dataset 10 parent    8     73.9  77.83065 -3.930647 1.884    -2.086344 -#>  Dataset 10 parent    8     73.9  77.83065 -3.930647 1.884    -2.086344 -#>  Dataset 10 parent   14     69.4  70.15862 -0.758619 1.884    -0.402667 -#>  Dataset 10 parent   14     73.1  70.15862  2.941381 1.884     1.561253 -#>  Dataset 10 parent   21     65.6  64.00840  1.591600 1.884     0.844804 -#>  Dataset 10 parent   21     65.3  64.00840  1.291600 1.884     0.685567 -#>  Dataset 10 parent   41     55.9  54.71192  1.188076 1.884     0.630618 -#>  Dataset 10 parent   41     54.4  54.71192 -0.311924 1.884    -0.165566 -#>  Dataset 10 parent   63     47.0  49.66775 -2.667747 1.884    -1.416011 -#>  Dataset 10 parent   63     49.3  49.66775 -0.367747 1.884    -0.195196 -#>  Dataset 10 parent   91     44.7  45.17119 -0.471186 1.884    -0.250101 -#>  Dataset 10 parent   91     46.7  45.17119  1.528814 1.884     0.811478 -#>  Dataset 10 parent  120     42.1  41.20430  0.895699 1.884     0.475427 -#>  Dataset 10 parent  120     41.3  41.20430  0.095699 1.884     0.050796 -#>  Dataset 10     A1    8      3.3   4.00920 -0.709204 1.884    -0.376438 -#>  Dataset 10     A1    8      3.4   4.00920 -0.609204 1.884    -0.323359 -#>  Dataset 10     A1   14      3.9   5.94267 -2.042668 1.884    -1.084226 -#>  Dataset 10     A1   14      2.9   5.94267 -3.042668 1.884    -1.615015 -#>  Dataset 10     A1   21      6.4   7.48222 -1.082219 1.884    -0.574430 -#>  Dataset 10     A1   21      7.2   7.48222 -0.282219 1.884    -0.149799 -#>  Dataset 10     A1   41      9.1   9.76246 -0.662460 1.884    -0.351626 -#>  Dataset 10     A1   41      8.5   9.76246 -1.262460 1.884    -0.670100 -#>  Dataset 10     A1   63     11.7  10.93972  0.760278 1.884     0.403547 -#>  Dataset 10     A1   63     12.0  10.93972  1.060278 1.884     0.562784 -#>  Dataset 10     A1   91     13.3  11.93666  1.363337 1.884     0.723645 -#>  Dataset 10     A1   91     13.2  11.93666  1.263337 1.884     0.670566 -#>  Dataset 10     A1  120     14.3  12.78218  1.517817 1.884     0.805641 -#>  Dataset 10     A1  120     12.1  12.78218 -0.682183 1.884    -0.362095</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> | 
