A Collection of Models that Employ a Prior Distribution on
Provides functions that fit hierarchical Gaussian and probit ordinal models.
A (covariate dependent) product partition model is used as a prior.
If a covariate dependent product partition model is selected,
then all the options detailed in Page, G.L.; Quintana, F.A.; (2018)
<10.1007> are available. If covariate values
are missing, then the approach detailed in Page, G.L.; Quintana, F.A.;
Mueller, P (2020) <1912.13119> is employed. Also included in the
package is a function that fits a Gaussian likelihood spatial product
partition model that is detailed in Page, G.L.; Quintana, F.A.; (2016)