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
)

Arguments

projectPath

path to NLME project

obssel

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

plotLog

Logical, selects if Y axis linear or log scale

nsimtimes

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

simtimes

Vector with simulation times. Defaults to NULL.

ncol

Number of columns per page

nrow

Number of rows per page

filename

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

FLAGincludeIPRED

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

opt_abstol

Double value for absolute tolerance

opt_reltol

Double value for relative tolerance

opt_minstep

Double value for minimal integrator step-size

opt_maxstep

Double value for maximal integrator step-size

opt_initstep

Double value for initial step-size to be attempted

Value

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

See also

Other IQRnlmeProject: IQRnlmeEst(), IQRnlmeProject(), addCovariateToModelSpec_IQRest(), addPar_modelSpec(), as_IQRnlmeProject(), as_IQRnlmeProjectMulti(), bootstrap_IQRnlmeProject(), compareModels_IQRnlmeProjectMulti(), convertETAINDIVPRED_IQRnlmeProject(), covariateEffect_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_IQRnlmeProject(), getResults_IQRnlmeProjectMulti(), hasrun_IQRnlmeProject(), hasrun_IQRnlmeProjectMulti(), informationContent_IQRnlmeProject(), is_IQRnlmeEst(), is_IQRnlmeProject(), is_IQRnlmeProjectMulti(), is_MONOLIX_IQRnlmeProject(), is_NLMIXR_IQRnlmeProject(), is_NONMEM_IQRnlmeProject(), modelSpec_IQRest(), outlier_IQRnlmeProject(), plot.IQRnlmeProject(), plot.IQRnlmeProjectMulti(), plotBLQVPC_IQRdataVPC(), plotConvergence_IQRnlmeProject(), plotETACOV_IQRnlmeProject(), plotETA_IQRnlmeProject(), plotGOF_IQRnlmeProject(), plotINDIV_IQRnlmeProject(), plotMEANSIM_IQRnlmeProject(), plotVPC_IQRdataVPC(), pred_IQRnlmeProject(), print.IQRnlmeEst(), print.IQRnlmeProject(), print.IQRnlmeProjectMulti(), print_modelSpec(), run_IQRnlmeProject(), run_IQRnlmeProjectMulti(), sample_IQRnlmeProject(), scm_IQRnlmeProject(), summary.IQRnlmeProject(), summary.IQRnlmeProjectMulti(), summaryComments_IQRnlmeProjectMulti(), summaryCorrelations_IQRnlmeProjectMulti(), summaryCovariates_IQRnlmeProjectMulti(), summaryParameters_IQRnlmeProjectMulti(), vpc_IQRnlmeProject()

Author

Anne Kuemmel