abess.default           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.
generate.bmn.data       Generate a dataset from binary markov network
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
slide                   Sparsity Learning for Ising moDel
                        rEconstruction (SLIDE)
trim32                  The Bardet-Biedl syndrome Gene expression data
