buildbam: Uses 'buildmer' to fit big generalized additive models using...

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

Uses buildmer to fit big generalized additive models using bam from package mgcv

Description

Uses buildmer to fit big generalized additive models using bam from package mgcv

Usage

buildbam(
  formula,
  data = NULL,
  family = gaussian(),
  buildmerControl = buildmerControl()
)

Arguments

formula	See the general documentation under buildmer-package.
data	See the general documentation under buildmer-package.
family	See the general documentation under buildmer-package.
buildmerControl	Control arguments for buildmer — see the general documentation under buildmerControl.

Details

To work around an issue in bam, you must make sure that your data do not contain a variable named 'intercept'.

lme4 random effects are supported: they will be automatically converted using re2mgcv.

In the generalized case, bam only returns the correct ML/REML values as of mgcv 1.9-4.

See Also

buildmerControl

Examples

library(buildmer)
model <- buildbam(f1 ~ s(timepoint,by=following) + s(participant,by=following,bs='re') +
       s(participant,timepoint,by=following,bs='fs'),data=vowels)

buildmer documentation built on June 27, 2026, 1:06 a.m.