rbvs: Ranking-Based Variable Selection

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Implements the Ranking-Based Variable Selection algorithm for variable selection in high-dimensional data.

Author
Rafal Baranowski, Patrick Breheny, Isaac Turner
Date of publication
2015-12-11 19:53:09
Maintainer
Rafal Baranowski <r.baranowski@lse.ac.uk>
License
GPL (>= 2)
Version
1.0.2

View on CRAN

Man pages

distance.cor
Measure an impact of the covariates on the response using the...
factor.model.design
Generate factor model design matrix.
lasso.coef
Measure an impact of the covariates on the response using...
mcplus.coef
Measure an impact of the covariates on the response using...
pearson.cor
Measure an impact of the covariates on the response using...
rankings
Evaluate rankings
rbvs
Ranking-Based Variable Selection
rbvs-package
Ranking-Based Variable Selection
s.est.quotient
Estimate the size of the top-ranked set
standardise
Standardise data
subsample
Generates subsamples.
top.ranked.sets
Find k-top-ranked sets

Files in this package

rbvs
rbvs/src
rbvs/src/pearson_cor.h
rbvs/src/Makevars
rbvs/src/lasso_coef.c
rbvs/src/penalised_common.h
rbvs/src/rankings.c
rbvs/src/rbvs.c
rbvs/src/utility_functions.h
rbvs/src/lasso_coef.h
rbvs/src/dist_cor.c
rbvs/src/rbvs.h
rbvs/src/rankings.h
rbvs/src/dist_cor.h
rbvs/src/mcplus_coef.h
rbvs/src/pearson_cor.c
rbvs/src/factor.model.c
rbvs/src/sort_r.h
rbvs/src/utility_functions.c
rbvs/src/penalised_common.c
rbvs/src/mcplus_coef.c
rbvs/NAMESPACE
rbvs/R
rbvs/R/rbvs.R
rbvs/R/misc.R
rbvs/R/measures.R
rbvs/README.md
rbvs/MD5
rbvs/DESCRIPTION
rbvs/man
rbvs/man/rankings.Rd
rbvs/man/lasso.coef.Rd
rbvs/man/distance.cor.Rd
rbvs/man/top.ranked.sets.Rd
rbvs/man/subsample.Rd
rbvs/man/mcplus.coef.Rd
rbvs/man/standardise.Rd
rbvs/man/pearson.cor.Rd
rbvs/man/factor.model.design.Rd
rbvs/man/rbvs.Rd
rbvs/man/rbvs-package.Rd
rbvs/man/s.est.quotient.Rd