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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.