Generic summary function for IQRnlmeProjectMulti objects
summary.IQRnlmeProjectMulti.Rd
This summary function allows to generate a range of summary tables for IQRnlmeProjectMulti objects. Metrics, Parameters, Covariates, and Covariance information. It also allows to produce summary tables for a report. Only projects that have been run already are considered
# S3 method for class 'IQRnlmeProjectMulti'
summary(
object,
...,
order = NULL,
show = NULL,
FLAGreport = NULL,
pathname = NULL,
SIGDIG = 3,
FLAGremovePath = FALSE,
FLAGnamesMulti = FALSE
)
Arguments
- object
IQRnlmeProjectMulti object
- ...
Additional unused arguments
- order
Order of tables ("BIC", "AIC", "OBJ" or NULL (order of appearance of model in the IQRprojectMulti object))
- show
For space purposes only one objective function metric is shown. By default the same as used in "order" will be used. If order=NULL then "OBJ" will be used. This argument allows to override the default by defining "OBJ", "AIC", or "BIC"
- FLAGreport
If TRUE then the table text is annotated by formatting suitable for IQReport. If FALSE, then just text for display. If not provided by default TRUE if pathname provided and FALSE is no pathname provided
- pathname
If pathname is provided then the text is exported to files in this path Several files might be generated
- SIGDIG
Significant digit setting for the whole table
- FLAGremovePath
If TRUE then the paths to each model are removed - saving space in table for word reporting
- FLAGnamesMulti
If TRUE then the names of the models in the IQRnlmeProjectMulti object will be used. If FALSE, short names are used (M1,M2,M3, etc.) - FALSE is default.
Value
If no pathname is provided, the table contents are returned as list of IQRoutputTable objects
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()
,
plotINDIVSIM_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()
,
summaryComments_IQRnlmeProjectMulti()
,
summaryCorrelations_IQRnlmeProjectMulti()
,
summaryCovariates_IQRnlmeProjectMulti()
,
summaryParameters_IQRnlmeProjectMulti()
,
vpc_IQRnlmeProject()
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()
,
plotINDIVSIM_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()
,
summaryComments_IQRnlmeProjectMulti()
,
summaryCorrelations_IQRnlmeProjectMulti()
,
summaryCovariates_IQRnlmeProjectMulti()
,
summaryParameters_IQRnlmeProjectMulti()
,
vpc_IQRnlmeProject()