Use buildmer to perform stepwise elimination of mixed-effects models fit via lme from nlme
Use buildmer to perform stepwise elimination of mixed-effects models fit via lme from nlme
buildlme(formula, data = NULL, buildmerControl = buildmerControl(), ...)
formula |
A formula specifying both fixed and random effects using |
data |
See the general documentation under |
buildmerControl |
Control arguments for buildmer — see the general documentation under |
... |
Additional options to be passed to |
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 as part of the ... argument. Note that buildlme will merely pass this through; no term reordering or stepwise elimination is done on a user-provided random argument.
library(buildmer) model <- buildlme(Reaction ~ Days + (Days|Subject),data=lme4::sleepstudy)
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