itsadug 2.3-foss-2018b-R-3.5.1GAMM (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).
Accessing itsadug 2.3-foss-2018b-R-3.5.1
To load the module for itsadug 2.3-foss-2018b-R-3.5.1 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load itsadug/2.3-foss-2018b-R-3.5.1
BEAR Apps Version
- itsadug 2.3
- plotfunctions 1.3
For more information visit the itsadug website.
Last modified on 4th June 2019