Changes in version 0.1.0 (2026-10-20)                  

  - First CRAN release.
  - 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").
  - Inference for user-specified estimands (contrast_inference(),
    custom_estimand_inference(), estimand_summary()), inactive variables
    (inactive_summary(), SelectionCoordinates) and screening
    (ScreenedSelection).