From 59566e315c5d05a0aa4a46ab80c5fda33c5c2f1e Mon Sep 17 00:00:00 2001
From: Johannes Ranke
Extract model parameters
Method to get convergence information
Method to get status information for fit array objects
Plot the distribution of log likelihoods from multistart objects
Plot parameter distributions from multistart objects
Plot parameter variability of multistart objects
Produces a boxplot with all parameters from the multiple runs, scaled +either by the parameters of the run with the highest likelihood, +or by their medians as proposed in the paper by Duchesne et al. (2021).
+parplot(object, ...)
+
+# S3 method for multistart.saem.mmkin
+parplot(
+ object,
+ llmin = -Inf,
+ scale = c("best", "median"),
+ lpos = "bottomleft",
+ main = "",
+ ...
+)
The multistart object
Passed to boxplot
The minimum likelihood of objects to be shown
By default, scale parameters using the best available fit. +If 'median', parameters are scaled using the median parameters from all fits.
Positioning of the legend.
Title of the plot
Duchesne R, Guillemin A, Gandrillon O, Crauste F. Practical +identifiability in the frame of nonlinear mixed effects models: the example +of the in vitro erythropoiesis. BMC Bioinformatics. 2021 Oct 4;22(1):478. +doi: 10.1186/s12859-021-04373-4.
+Method to get status information for fit array objects
+The object to investigate
For potential future extensions
The object to be printed
An object with the same dimensions as the fit array +suitable printing method.
+