amer {amer}R Documentation

fit a (generalized) additive mixed model using lmer...

Description

fit a (generalized) additive mixed model using lmer

Usage

amer(formula, data, family, REML=TRUE, control=list(), start,
    verbose=FALSE, subset, weights, na.action, offset,
    contrasts, basisGenerators=c("tp", "tpU"), ...)

Arguments

formula a two-sided formula object describing the fixed-effects part of the model, with the response on the left of a ~ operator and the terms, separated by + operators, on the right. The terms can include specifications for non-grouped random effects of types given in basisGenerators, see examples. The vertical bar character "|" separates an expression for a model matrix and a grouping factor.
data an optional data frame containing the variables named in formula. By default the variables are taken from the environment from which lmer is called.
family a GLM family, see glm and family. If family is missing then a linear mixed model is fit; otherwise a generalized linear mixed model is fit.
REML logical argument to lmer only. Should the estimates be chosen to optimize the REML criterion (as opposed to the log-likelihood)? Defaults to TRUE.
control a list of control parameters for lmer
start a named list of starting values for the parameters in the model. See lmer.
verbose logical scalar. If TRUE verbose output is generated during the optimization of the parameter estimates.
subset see lmer
weights see lmer
na.action see lmer
offset see lmer
contrasts see lmer
basisGenerators a character vector of names of functions that generate bases for function estimation in a way amer can use. See tp for an example.
... further arguments handed to lmer

Value

An object of class amer-class. See there for details.

Author(s)

Fabian Scheipl

See Also

tests/optionsTests.r and the vignette for examples


[Package amer version 0.5 Index]