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LassoInference: selective intervals and p-values for
the (randomized) bounded LASSO, with dense matrices or matrix-free
operators (dense_operator(),
xtvx_operator()).glmnet_inference(): inference from a fitted
glmnet object at a given lambda, without
randomization or with carving (selection_rows).glmnet_problem() and
glmnet_problem_from_fit(): the LASSO problem glmnet solved,
with the Hessian at a one-step relaxed fit by default
(information = "relaxed").contrast_inference(),
custom_estimand_inference(),
estimand_summary()), inactive variables
(inactive_summary(), SelectionCoordinates) and
screening (ScreenedSelection).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.
Health stats visible at Monitor.