Fast Best Subset Selection

Documentation for package ‘abess’ version 0.4.8

abess	Adaptive best subset selection (for generalized linear model)
abess.default	Adaptive best subset selection (for generalized linear model)
abess.formula	Adaptive best subset selection (for generalized linear model)
abesspca	Adaptive best subset selection for principal component analysis
abessrpca	Adaptive best subset selection for robust principal component analysis
coef.abess	Extract Model Coefficients from a fitted "'abess'" object.
coef.abesspca	Extract Sparse Loadings from a fitted "'abesspca'" object.
coef.abessrpca	Extract sparse component from a fitted "'abessrpca'" object.
deviance.abess	Extract the deviance from a fitted "'abess'" object.
extract	Extract one model from a fitted "'abess'" object.
extract.abess	Extract one model from a fitted "'abess'" object.
generate.data	Generate simulated data
generate.matrix	Generate matrix composed of a sparse matrix and low-rank matrix
generate.spc.matrix	Generate matrix with sparse principal component
plot.abess	Creat plot from a fitted "'abess'" object
plot.abesspca	Creat plot from a fitted "'abess'" object
plot.abessrpca	Creat plot from a fitted "'abessrpca'" object
predict.abess	Make predictions from a fitted "'abess'" object.
print.abess	Print method for a fitted "'abess'" object
print.abesspca	Print method for a fitted "'abesspca'" object
print.abessrpca	Print method for a fitted "'abessrpca'" object
trim32	The Bardet-Biedl syndrome Gene expression data