Changes in version 2.2.0 (2026-09-07)                  

This release contains two major bugfixes, both of which can change
results.

  - Bugfix in p-value computation. Previously, we were accidentally
    computing one-tailed p-values but reporting them as two-tailed. Now,
    we actually compute two-tailed p-values, as claimed. This will
    likely alter results.
  - Bugfix in Benjamini-Yekutieli procedure. It now steps up correctly,
    rather than stopping at the first p-value above its cutoff. This
    could alter results, but in our testing it does not seem to affect
    which cells Dawnn calls as in regions of DA whatsoever.

                 Changes in version 2.1.1 (2026-09-01)                  

  - Documentation changes requested by CRAN: removed examples for
    unexported functions.

                        Changes in version 2.1.0                        

Mainly changes with a view to submitting to CRAN.

  - Model now hosted on Zenodo.
  - download_model() verifies the size and MD5 checksum of a model
    downloaded from the default URL, deleting it and failing if either
    does not match.
  - download_model() now saves the model to the user cache directory
    (tools::R_user_dir("dawnn", "cache")) by default. Other functions
    updated accordingly.
  - download_model() reports an unreachable URL with an informative
    message, and no longer leaves the timeout option modified if a
    download fails.
  - run_dawnn() no longer alters the global random number generator
    state.
  - The default verbosity of run_dawnn() is now 1 rather than 2, so the
    progress output of the underlying predict() calls is suppressed by
    default.
  - Added more sanity checks.
  - Vectorised p-value calculation.
  - Model now downloaded in binary mode, fixing corrupted downloads on
    Windows.
  - Added a vignette, a CITATION file, and package URLs.
  - R (>= 4.0.0) is now required, up from R (>= 3.5.0).

                        Changes in version 2.0.0                        

  - Simultaneously test for local and global differential abundance.
  - Only take single label from user (since two labels are assumed, the
    other need not be passed).

                        Changes in version 1.2.0                        

  - Fixed a bug where the alpha parameter was not being respected (the
    default value of 0.1 was always being used).