buildbam {buildmer}R Documentation

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

Description

Use 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

...

Additional options to be passed to bam; for backward-compatibility reasons, will also accept buildmer control parameters, although those specified in buildmerControl will take precedence

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.

As bam uses PQL, only crit='deviance' is supported for non-Gaussian errors.

See Also

buildmer-package

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)


[Package buildmer version 1.9 Index]