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.
|Author||Foteini Strimenopoulou, Heather Turner and Phil Brain|
|Date of publication||2011-09-30 10:36:55|
|Maintainer||Heather Turner <email@example.com>|
|License||GPL (>= 2)|
bandSpectra: Average Spectra within Frequency Bands
clonidine: EEG Experiment Investigating the Effect of Clonidine in Rats
gslcca: Perform a Generalised Semi Linear Canonical Correlation...
gslcca-misc: Functions to Access Components of the Results of a GSLCCA...
gslcca-package: Generalised Semi-Linear Canonical Correlation Analysis
plot.gslcca: Plot Results from a GSLCCA Analysis
plot.varySmooth: Plot Results from GSLCCA Run with Different Smoothing...
readSpectra: Read in Power Spectra and Auxiliary Information
snapshot: Perform Snapshot Analysis Comparing Two Sets of Signatures...
varySmooth: Vary the Level of Smoothing used Prior to GSLCCA