The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

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).

Version: 2.4.1
Depends: R (≥ 4.0), mgcv (≥ 1.8), plotfunctions (≥ 1.4)
Suggests: knitr, xtable, sp, data.table
Published: 2022-06-17
DOI: 10.32614/CRAN.package.itsadug
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: itsadug citation info
Materials: NEWS
CRAN checks: itsadug results

Documentation:

Reference manual: itsadug.pdf
Vignettes: ACF: checking & handling autocorrelation
Visual inspection of GAMM models
Quick overview of plot functions
Testing for significance

Downloads:

Package source: itsadug_2.4.1.tar.gz
Windows binaries: r-devel: itsadug_2.4.1.zip, r-release: itsadug_2.4.1.zip, r-oldrel: itsadug_2.4.1.zip
macOS binaries: r-release (arm64): itsadug_2.4.1.tgz, r-oldrel (arm64): itsadug_2.4.1.tgz, r-release (x86_64): itsadug_2.4.1.tgz, r-oldrel (x86_64): itsadug_2.4.1.tgz
Old sources: itsadug archive

Reverse dependencies:

Reverse imports: PupillometryR
Reverse suggests: marginaleffects, VWPre

Linking:

Please use the canonical form https://CRAN.R-project.org/package=itsadug to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.