R: Fit Sparse Linear Regression Models via Nonconvex Optimization

# Fit Sparse Linear Regression Models via Nonconvex Optimization

## Documentation for package ‘sparsenet’ version 1.7

- DESCRIPTION file

## Help Pages

sparsenet-package | Fit a linear model regularized by the nonconvex MC+ sparsity penalty
coef.cv.sparsenet | make predictions from a "cv.sparsenet" object.
coef.sparsenet | make predictions from a "sparsenet" object.
cv.sparsenet | Cross-validation for sparsenet
gendata | Generate data for testing sparse model selection
plot.cv.sparsenet | plot the cross-validation curves produced by cv.sparsenet
plot.sparsenet | plot coefficients from a "sparsenet" object
predict.cv.sparsenet | make predictions from a "cv.sparsenet" object.
predict.sparsenet | make predictions from a "sparsenet" object.
sparsenet | Fit a linear model regularized by the nonconvex MC+ sparsity penalty