| Name : R-itsadug
| |
| Version : 2.4.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.9
| Date : 2024-06-14 11:03:42
|
| Group : Development/Libraries/Other
| Source RPM : R-itsadug-2.4.1-lp153.1.9.src.rpm
|
| Size : 4.77 MB
| |
| Packager : (none)
| |
| Summary : Interpreting Time Series and Autocorrelated Data Using GAMMs
|
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).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
