info

Optional parameter. Normally (NULL) the citation info is 
printed. If value "version" then only the version is printed.

input

GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999)
    as implemented in the R package mgcv (Wood, S.N., 2006; 2011) is a nonlinear
    regression analysis which is particularly useful for time course data such as
    EEG, pupil dilation, gaze data (eye tracking), and articulography recordings,
    but also for behavioral data such as reaction times and response data. As time
    course measures are sensitive to autocorrelation problems, GAMMs implements
    methods to reduce the autocorrelation problems. This package includes functions
    for the evaluation of GAMM models (e.g., model comparisons, determining regions
    of significance, inspection of autocorrelational structure in residuals)
    and interpreting of GAMMs (e.g., visualization of complex interactions, and
    contrasts).

info: Information on how to cite this package

Description

Usage

Arguments

See Also

Examples