Plot the individual fits for NLME projects using simulated individual fits.
plotINDIVSIM_IQRnlmeProject.RdIndividual 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_IQRnlmeProjectMulti(),
as_IQRnlmeProject(),
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_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(),
plotBLQVPC_IQRdataVPC(),
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(),
scm_IQRnlmeProject(),
summary.IQRnlmeProjectMulti(),
summary.IQRnlmeProject(),
summaryComments_IQRnlmeProjectMulti(),
summaryCorrelations_IQRnlmeProjectMulti(),
summaryCovariates_IQRnlmeProjectMulti(),
summaryParameters_IQRnlmeProjectMulti(),
vpc_IQRnlmeProject()