Changes in version 1.2.0 (2026-05-18)                  

  - New install_blimp() and uninstall_blimp() functions let rblimp
    download and manage the Blimp engine directly, without going through
    the system installer. Installs to a user-writable directory
    (~/.blimp/ on macOS and Linux, %LOCALAPPDATA%/Blimp/ on Windows),
    overridable via the R_BLIMP_HOME environment variable.
  - When rblimp() / rblimp_source() is run in an interactive session and
    Blimp is not installed, the user is now offered the option to
    install it via install_blimp() on the spot.
  - detect_blimp() gained a prompt = argument; defaults to TRUE for the
    new interactive install offer.
  - update_blimp() now routes based on install type: for managed
    installs it checks the manifest version first and re-downloads only
    when a newer version is available; system installs still launch the
    Blimp Updater application.
  - Update version checks now use a JSON manifest endpoint
    (https://updates.blimpstats.com/v1/blimp_base.json) instead of
    parsing the plain-text changelog. Manifest URL is overridable via
    the R_BLIMP_MANIFEST_URL environment variable.
  - New R_BLIMP_NO_UPDATE_CHECK environment variable disables automatic
    update checks (alternative to options(check_blimp_update = FALSE)).
  - New R_BLIMP_PREVENT_INSTALL environment variable blocks
    install_blimp() for locked-down environments.

                        Changes in version 1.1.1                        

  - Fixed a bug in trace_plot() when called with specific parameters.

                 Changes in version 1.1.0 (2026-04-14)                  

  - Added an as.array() method for blimp_obj that returns an
    [iterations, chains, parameters] 3-D array compatible with
    bayesplot. Supports a warmup = c("exclude", "include", "only")
    argument for including burn-in draws; when warmup = "include" the
    returned array carries an "n_warmup" attribute so it pipes directly
    into bayesplot::mcmc_trace(arr, n_warmup = attr(arr, "n_warmup")).
  - Added S3 methods registering blimp_obj with the posterior package's
    as_draws(), as_draws_array(), and as_draws_df() generics, unlocking
    the posterior / bayesplot summary and plotting ecosystems. posterior
    is a soft dependency (in Suggests).
  - Trace plots now display rank-normalized split-Rhat (Vehtari et
    al., 2021) instead of the basic PSRF, and fixed facet labels when
    plotting a subset of parameters.

                 Changes in version 1.0.0 (2026-02-20)                  

  - Initial CRAN submission.