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rbvs

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Version

Install

install.packages('rbvs')

Monthly Downloads

24

Version

1.0.2

License

GPL (>= 2)

Maintainer

Rafal Baranowski

Last Published

December 11th, 2015

Functions in rbvs (1.0.2)

pearson.cor

Measure an impact of the covariates on the response using Pearson correlatio. This function evaluates the Pearson correlation coefficient between the response y and each column in the design matrix x over subsamples in subsamples.
subsample

Generates subsamples.
top.ranked.sets

Find k-top-ranked sets
rankings

Evaluate rankings
s.est.quotient

Estimate the size of the top-ranked set
rbvs-package

Ranking-Based Variable Selection
factor.model.design

Generate factor model design matrix.
lasso.coef

Measure an impact of the covariates on the response using Lasso This function evaluates the Lasso coefficients regressing y onto the design matrix x over subsamples in subsamples.
rbvs

Ranking-Based Variable Selection
mcplus.coef

Measure an impact of the covariates on the response using MC+. This function evaluates the MC+ coefficients regressing y onto the design matrix x over subsamples in subsamples.
standardise

Standardise data
distance.cor

Measure an impact of the covariates on the response using the distance correlation This function evaluates the distance correlation between the response y and each column in the design matrix x over subsamples in subsamples.