Changes in version 1.0.1 (2022-09-05)                  

New features

  - Ordinal Probit Model: new model option under algorithm='jags'. The
    option can be requested with argument models = 'opm' (or named
    vectors, for example, models = c(y1='opm',y2='opm')).
  - algorithm='tang_seq': computation is speed up.
  - get_subset: function is exported for extracting specified set of
    parameters from MCMC samples. The extracted samples have a class of
    'mcmc', and can be directly used by functions/packages which take a
    'mcmc' object.

Minor improvements and bug fixes

  - Bug fix: when using a J2R imputation of continuous outcome through
    GLM with family = gaussian() using JAGS.