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 <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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