Changes in version 0.0.4                        

New features

  - Added family = "probit" for binary probit mixed models using
    Albert-Chib latent-normal augmentation.
  - Added fitted values, prediction, log-likelihood, recovery, tests,
    and documentation for probit models.
  - Added support for structured probit process models using saved
    in-chain latent process draws.

Changes

  - NNGP prediction with joint = TRUE now defaults to joint_method =
    "vecchia" instead of the dense full method. This avoids building a
    dense covariance over new prediction nodes for moderate and large
    prediction sets. Use joint_method = "full" to request the previous
    dense behavior for small prediction sets.
  - stats::binomial(link = "probit") now dispatches to the probit
    likelihood.
  - Unsupported stats::binomial() links such as "cloglog" and "cauchit"
    now error instead of silently using the logit/Polya-Gamma path.

                 Changes in version 0.0.3 (2026-07-29)                  

  - Existing release.