backwardSearch: Backward covariate search

In nlmixr: Nonlinear Mixed Effects Models in Population PK/PD

Backward covariate search

Description

Backward covariate search

Usage

backwardSearch(
  covInfo,
  fitorig,
  fitupdated,
  pVal = 0.01,
  reFitCovars = FALSE,
  outputDir,
  restart = FALSE
)

Arguments

covInfo	a list containing information about each variable-covariate pair
fitorig	the original 'fit' object before forward search
fitupdated	the updatef 'fit' object, if any, after the forward search
pVal	p-value that should be used for selecting covariates in the forward search
reFitCovars	if the covariates should be added before performing backward search - useful for directly performing backward search without forward search; default is FALSE
outputDir	the name of the output directory that stores the covariate search result
restart	a boolean that controls if the search should be restarted; default is FALSE

Value

returns the updated 'fit' object at the end of the backward search and a table of information for all the covariates tested

Author(s)

Vipul Mann, Matthew Fidler

nlmixr documentation built on March 27, 2022, 5:05 p.m.