Nothing
gslcca: Generalized Semi-Linear Canonical Correlation Analysis
This is a package for Generalized Semi-linear Canonical Correlation Analysis (GSLCCA, described in Brain et al, 2011). GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Foteini Strimenopoulou, Heather Turner and Phil Brain |
| Maintainer | Heather Turner <ht@heatherturner.net> |
| License | GPL (>= 2) |
| Version | 0.1-0 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the gslcca package in your browser
Any scripts or data that you put into this service are public.
