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RidgeFusion (version 1.0-3)

R Package for Ridge Fusion in Statistical Learning

Description

This package implements ridge fusion methodology for inverse covariance matrix estimation for use in quadratic discriminant analysis. The package also contains function for model based clustering using ridge fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have also implemented QDA using joint inverse covariance estimation.

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Version

Install

install.packages('RidgeFusion')

Monthly Downloads

4

Version

1.0-3

License

MIT + file LICENSE

Maintainer

Bradley S Price

Last Published

September 18th, 2014

Functions in RidgeFusion (1.0-3)

SSRidgeFusion-class

Class "SSRidgeFusion"
SSRidgeFused

Semis Supervised Ridge Fusion Model Based Clustering
RidgeFusedQDA-class

Class "RidgeFusedQDA"
FusedQDA

Quadratic Discriminant Analysis with Ridge Fused Inverse Covariance Estimation
SSRidgeFusedCV

Tuning Parameter Selection For Semi-Supervised Ridge Fusion Model Based Clustering via EM Validation Likelihood
RidgeFusionCV-class

Class "RidgeFusionCV"
RidgeFused

Ridged Fused Inverse Covariance Matrix Estimation
RidgeFusedCV

Ridged Fused Validation Likelihood
RidgeFusion-class

Class "RidgeFusion"