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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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