# The Gaussian Covariate Method for Variable Selection

## Documentation for package ‘gausscov’ version 0.0.2

- DESCRIPTION file.

## Help Pages

boston | Boston data
colon.x | Colon data
colon.y | Colon data
decode | Decodes the number of a subset selected by flmmdch to give the covariates
decomp | decompose a given interaction ic into its component parts
fgeninter | generation of interactions
fgraphst | Calculates an independence graph for a set of variables using stepwise selection
fgraphstst | Calculates an independence graph for a set of variables using repeated stepwise selection
flmmdch | Calculates all possible subsets and selects those where each included covariate is significant.
frobreg | Robust regression using Huber's psi-function
frobstepwise | robust stepwise selection of covariates
fselect | Selects the subsets specified by flmmdch. It is called by flmmdch
fsimords | Simulates the number of false positives for given dimensions (n,k) and given order statistic nu
fstepstepwise | Repeated stepwise selection of covariates
fstepwise | Stepwise selection of covariates
lx.original | Leukemia data
ly.original | Leukemia data
prostate.x | Prostate cancer data
prostate.y | Prostate cancer data
redwine | Redwine data
stackloss | Stack loss data