buildgamm {buildmer}R Documentation

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

Description

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

Usage

buildgamm(
  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 gamm; for backward-compatibility reasons, will also accept buildmer control parameters, although those specified in buildmerControl will take precedence

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 as part of the ... argument. Note that buildgamm 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 <- buildgamm(f1 ~ s(timepoint,by=following) + (following|participant) +
       s(participant,timepoint,by=following,bs='fs'),data=vowels)


[Package buildmer version 1.9 Index]