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.

Package details

AuthorFoteini Strimenopoulou, Heather Turner and Phil Brain
MaintainerHeather Turner <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("gslcca", repos="")

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gslcca documentation built on May 2, 2019, 5:46 p.m.