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First CRAN submission.
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.Remotes: field and the package-level
Config/reticulate block were removed: ‘ustats’ is now
obtained from CRAN and declares its own Python requirements.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.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.tests/testthat.R runner (previously the test
suite was not run by R CMD check) plus new pure R
regression tests.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.ustats::check_ustats_setup() and the
pure_R_code = TRUE fallback.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.
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