buildlme: Use 'buildmer' to perform stepwise elimination of...

In cvoeten/buildmer: Stepwise Elimination and Term Reordering for Mixed-Effects Regression

Use buildmer to perform stepwise elimination of mixed-effects models fit via lme from nlme

Description

Use buildmer to perform stepwise elimination of mixed-effects models fit via lme from nlme

Usage

buildlme(formula, data = NULL, buildmerControl = buildmerControl())

Arguments

formula	A formula specifying both fixed and random effects using lme4 syntax. (Unlike lme, buildlme does not use a separate random argument!)
data	See the general documentation under buildmer-package
buildmerControl	Control arguments for buildmer — see the general documentation under buildmerControl

Details

The fixed and random effects are to be passed as a single formula in lme4 format. This is internally split up into the appropriate fixed and random parts. Only a single grouping factor is allowed. The random-effect covariance matrix is always unstructured. If you want to use pdMat covariance structures, you must (a) not specify any lme4 random-effects term in the formula, and (b) specify your own custom random argument in the args list in buildmerControl. Note that buildlme will merely pass this through; no term reordering or stepwise elimination is done on a user-provided random argument.

See Also

buildmer-package

Examples

library(buildmer)
model <- buildlme(Reaction ~ Days + (Days|Subject),data=lme4::sleepstudy)

cvoeten/buildmer documentation built on March 3, 2023, 3:25 p.m.