RidgeFusion: R Package for Ridge Fusion in Statistical Learning

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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.

Author
Bradley S. Price
Date of publication
2014-09-19 01:14:46
Maintainer
Bradley S. Price <bprice@bus.miami.edu>
License
MIT + file LICENSE
Version
1.0-3

View on CRAN

Man pages

FusedQDA
Quadratic Discriminant Analysis with Ridge Fused Inverse...
RidgeFused
Ridged Fused Inverse Covariance Matrix Estimation
RidgeFusedCV
Ridged Fused Validation Likelihood
RidgeFusedQDA-class
Class '"RidgeFusedQDA"'
RidgeFusion-class
Class '"RidgeFusion"'
RidgeFusionCV-class
Class '"RidgeFusionCV"'
SSRidgeFused
Semis Supervised Ridge Fusion Model Based Clustering
SSRidgeFusedCV
Tuning Parameter Selection For Semi-Supervised Ridge Fusion...
SSRidgeFusion-class
Class '"SSRidgeFusion"'

Files in this package

RidgeFusion
RidgeFusion/NAMESPACE
RidgeFusion/R
RidgeFusion/R/RidgeFused.R
RidgeFusion/MD5
RidgeFusion/DESCRIPTION
RidgeFusion/man
RidgeFusion/man/RidgeFusedCV.Rd
RidgeFusion/man/SSRidgeFusedCV.Rd
RidgeFusion/man/FusedQDA.Rd
RidgeFusion/man/RidgeFused.Rd
RidgeFusion/man/RidgeFusion-class.Rd
RidgeFusion/man/RidgeFusionCV-class.Rd
RidgeFusion/man/RidgeFusedQDA-class.Rd
RidgeFusion/man/SSRidgeFused.Rd
RidgeFusion/man/SSRidgeFusion-class.Rd
RidgeFusion/LICENSE