Plot the individual fits for NLME projects using simulated individual fits.

Individual panels for each observable (YTYPE/OUTPUT) are created showing the observations and the individual predictions. Predictions are evaluated at equidistant timepoints spanning the time frame for each individual and the observations times. The individual time frame is taken as the minimum to maximum time per individual (pooling dose and observation records). Alternatively, a time vector which is applied for all subject can be speified. In any case, simulation are evaluated at the individual observation times. To cross-check the simulations, the individual predictions that were determined by the parameter estimation tool can be displayed in addition.

plotINDIVSIM_IQRnlmeProject(projectPath, obssel = NULL,
  plotLog = FALSE, nsimtimes = 500, simtimes = NULL, ncol = 4,
  nrow = 2, filename = NULL, FLAGincludeIPRED = FALSE,
  opt_abstol = 1e-06, opt_reltol = 1e-06, opt_minstep = 0,
  opt_maxstep = 0, opt_initstep = 0)



path to NLME project


character string that can be used to subset the observations (and fits accodingly)


Number of timepoints to evaluate in the simulations if simtimes is NULL


Vector with simulation times. Defaults to NULL.


Number of columns per page


Number of rows per page


name to file to which the plots will be exported. If not given (NULL), plot object including plotting data as attributes are returned


Flag whether to load and display the individual predictions from the estimation software.


Double value for absolute tolerance


Double value for relative tolerance


Double value for minimal integrator step-size


Double value for maximal integrator step-size


Double value for initial step-size to be attempted


IQRoutputFigure returned if no filename given. Otherwise called for side effect.

See also

Other IQRnlmeProject: IQRnlmeEst, IQRnlmeProject, addCovariateToModelSpec_IQRest, addPar_modelSpec, as_IQRnlmeProjectMulti, as_IQRnlmeProject, bootstrap_IQRnlmeProject, compareModels_IQRnlmeProjectMulti, convertETAINDIVPRED_IQRnlmeProject, covariateEffect_IQRnlmeProject, createDataVPC_IQRnlmeProject, data_IQRest, dosing_IQRest, duplicate_IQRnlmeProject, eigenvalues_IQRnlmeProject, exportVirtualSubjects_IQRnlmeProject, getData_IQRnlmeProject, getETAs_IQRnlmeProject, getEst_IQRnlmeProject, getHeader_IQRnlmeProject, getIndivParameters_IQRnlmeProject, getIndivPredictions_IQRnlmeProject, getModel_IQRnlmeProject, getObsPred_IQRnlmeProject, getPopParameters_IQRnlmeProject, getResults_IQRnlmeProjectMulti, getResults_IQRnlmeProject, hasrun_IQRnlmeProjectMulti, hasrun_IQRnlmeProject, informationContent_IQRnlmeProject, is_IQRnlmeEst, is_IQRnlmeProjectMulti, is_IQRnlmeProject, is_MONOLIX_IQRnlmeProject, is_NLMIXR_IQRnlmeProject, is_NONMEM_IQRnlmeProject, modelSpec_IQRest, outlier_IQRnlmeProject, plot.IQRnlmeProjectMulti, plot.IQRnlmeProject, plotConvergence_IQRnlmeProject, plotETACOV_IQRnlmeProject, plotETA_IQRnlmeProject, plotGOF_IQRnlmeProject, plotINDIV_IQRnlmeProject, plotVPC_IQRdataVPC, pred_IQRnlmeProject, print.IQRnlmeEst, print.IQRnlmeProjectMulti, print.IQRnlmeProject, print_modelSpec, run_IQRnlmeProjectMulti, run_IQRnlmeProject, sample_IQRnlmeProject, summary.IQRnlmeProjectMulti, summary.IQRnlmeProject, summaryComments_IQRnlmeProjectMulti, summaryCorrelations_IQRnlmeProjectMulti, summaryCovariates_IQRnlmeProjectMulti, summaryParameters_IQRnlmeProjectMulti, vpc_IQRnlmeProject