Changes in version 0.2.0.9000                      

  - hoif_ate() and compute_hoif_estimators() now fail early with a
    clear, correctly-namespaced message when the Python backend is not
    configured: they point to ustats::setup_ustats() /
    ustats::check_ustats_setup() (which are not on the search path after
    library(HOIF) alone) and to the pure_R_code = TRUE fallback.
    Previously the error came from ustats::ustat() and suggested an
    unqualified setup_ustats(), which is not callable without attaching
    'ustats'.
  - DESCRIPTION now also cites Robins et al. (2017)
    doi:10.1214/16-AOS1515 ("Minimax estimation of a functional on a
    structured high-dimensional model"), matching the four foundational
    HOIF references listed in the README and vignette.

                 Changes in version 0.2.0 (2026-06-24)                  

First CRAN release (accepted 2026-06-19).

Adaptation to ustats (>= 0.1.5)

  - The Python dependencies (u-stats, numpy, torch) of the 'ustats'
    backend are now provisioned automatically on first use (via
    reticulate >= 1.41 and reticulate::py_require() declared by
    'ustats'), so most users need no manual setup. The installation
    documentation (README, vignette) was rewritten accordingly, covering
    the three setup paths: automatic, ustats::setup_ustats() (CPU-only
    PyTorch by default, gpu = TRUE for CUDA), and
    bring-your-own-environment.
  - hoif_ate() and compute_hoif_estimators() gain a dtype argument
    ("float32"/"float64", default NULL = automatic) that is passed
    through to ustats::ustat() to control the numeric precision of the
    Python backend.
  - The Remotes: field and the package-level Config/reticulate block
    were removed: 'ustats' is now obtained from CRAN and declares its
    own Python requirements.

Bug fixes

  - transform_covariates() no longer fails with "object 'k' not found"
    for method = "splines" and method = "fourier" (the basis dimension
    argument was renamed to basis_dim without updating the function
    body). It now also validates basis_dim and gives an informative
    error when it is missing or too small.
  - The Moore-Penrose fallback in compute_gram_inverse() now checks that
    'MASS' is installed (it is a suggested package) and gives an
    informative error if not.
  - print.hoif_ate() returns its argument invisibly, as is customary for
    print methods.

Documentation

  - All exported functions now have executable examples; examples and
    tests that need Python are guarded so that the package can be
    checked without a Python runtime (the pure R backend is exercised
    instead).
  - Added a tests/testthat.R runner (previously the test suite was not
    run by R CMD check) plus new pure R regression tests.
  - The vignette was moved to the standard vignettes/ directory, its
    code chunks are no longer evaluated at build time (the Python
    backend is not available on build machines), and the references were
    corrected.
  - Startup message points users to ustats::check_ustats_setup() and the
    pure_R_code = TRUE fallback.