RidgeFusion: R Package for Ridge Fusion in Statistical Learning
Version 1.0-3

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.

AuthorBradley S. Price
Date of publication2014-09-19 01:14:46
MaintainerBradley S. Price <bprice@bus.miami.edu>
LicenseMIT + file LICENSE
Version1.0-3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RidgeFusion")

Popular 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"'
SSRidgeFused: Semis Supervised Ridge Fusion Model Based Clustering
SSRidgeFusedCV: Tuning Parameter Selection For Semi-Supervised Ridge Fusion...
SSRidgeFusion-class: Class '"SSRidgeFusion"'
See all...

All man pages Function index File listing

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"'

Functions

Files

NAMESPACE
R
R/RidgeFused.R
MD5
DESCRIPTION
man
man/RidgeFusedCV.Rd
man/SSRidgeFusedCV.Rd
man/FusedQDA.Rd
man/RidgeFused.Rd
man/RidgeFusion-class.Rd
man/RidgeFusionCV-class.Rd
man/RidgeFusedQDA-class.Rd
man/SSRidgeFused.Rd
man/SSRidgeFusion-class.Rd
LICENSE
RidgeFusion documentation built on May 19, 2017, 7:57 a.m.

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