R: The Gaussian Covariate Method for Variable Selection

# The Gaussian Covariate Method for Variable Selection

## Documentation for package ‘gausscov’ version 1.1.8

- DESCRIPTION file

## Help Pages

abcq | American Business Cycle
boston | Boston data
decode | Decodes the number of a subset selected by fasb.R to give the covariates
f1bsf | Stepwise selection of interval covariates in non-paametric regression
f1st | Stepwise selection of covariates
f2st | Repeated stepwise selection of covariates
f3st | Stepwise selection of covariates
f3sti | Selection of covariates with given excluded covariates
fasb | Calculates all subsets where each included covariate is significant.
fdecode | Decodes the number of a subset selected by fasb.R to give the covariates
fgenbsf | Generates basis functions on disjoint intervals
fgeninter | Generation of interactions
fgentrig | Generation of sine and cosine functions
fgr1st | Calculates a dependence graph using Gaussian stepwise selection
flag | Calculation of lagged covariates
fpval | Calculates the regression coefficients, the P-values and the standard P-values for the chosen subset ind
fselect | Selects the subsets specified by fasb.R and frasb.R.
fundr | Converts directed into an undirected graph
leukemia | Leukemia data set
lymphoma | Lymphoma data set
m15005m | m15005m data
mel_temp | Melbourne minimum temperature
redwine | Redwine data
snspt | Sunspot data
vardata | USA economics data