Package: itsadug
Version: 2.5
Date: 2025-12-22
Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Authors@R: c( person("Jacolien", "van Rij", email="j.c.van.rij@rug.nl", role = c("aut", "cre")),
    person("Martijn","Wieling", role = "aut"), 
    person("R. Harald","Baayen", role = "aut"), 
    person("Hedderik", "van Rijn", role = "ctb"))
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald
        Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <j.c.van.rij@rug.nl>
Description: 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).
License: GPL (>= 2)
LazyData: true
Depends: R (>= 4.0), mgcv (>= 1.8), plotfunctions (>= 1.4)
VignetteBuilder: knitr
Suggests: knitr, xtable, sp, data.table
RoxygenNote: 7.3.3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-07 10:26:11 UTC; root
Repository: https://jacolien.r-universe.dev
Date/Publication: 2026-01-08 02:29:57 UTC
RemoteUrl: https://github.com/cran/itsadug
RemoteRef: HEAD
RemoteSha: 6f9574d4422f9072450d77114949639502618d37