ModalNet 0.3.0

• First CRAN release.
• Dashun Liu added as author.
• Documentation of every exported function and method now describes its return value and includes runnable examples; references carry DOIs.
• verbose = TRUE reports progress through message().
• print() labels alpha = 0 fits as ridge.

ModalNet 0.2.1

• Fixed the scale of the ridge part of the penalty for alpha < 1. glmnet standardizes the Gaussian response and therefore divides its ridge term by the standard deviation of the pseudo-response; the inner call now compensates, so the penalized objective is exactly lambda * sum(alpha * |b| + (1 - alpha) * b^2 / 2) on the standardized columns. Before the fix the line search rejected the glmnet step at some grid points and ridge paths reached maxit. Lasso fits are unchanged.

ModalNet 0.2.0

• Package renamed from ModalLasso to ModalNet; main function modal_net(). modal_lasso() remains as an alias.
• Elastic net and ridge penalties through alpha.