Fit Sparse Linear Regression Models via Nonconvex Optimization

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Documentation for package ‘sparsenet’ version 1.6

• 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