Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

backwardSearch

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

Nonlinear Mixed Effects Models in Population PK/PD

v2.0.4
GPL (>= 2)
Authors
Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Wenping Wang [aut, cre], Robert Leary [ctb], Mason McComb [aut] (<https://orcid.org/0000-0001-9871-8616>), Mirjam Trame [ctb], Teun Post [ctb], Richard Hooijmaijers [aut], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Daniel C. Dillon [ctb], Katharine Mullen [cph], Ben Goodrich [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.