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.