A Collection of Models that Employ Product Partition
Distributions as a Prior on Partitions
Description
Provides a suite of functions that fit models that use PPM type priors for partitions.
Models include hierarchical Gaussian and probit ordinal models with a (covariate
dependent) PPM. If a covariate dependent product partition model is selected,
then all the options detailed in Page, G.L.; Quintana, F.A. (2018)
are available. If covariate values are missing,
then the approach detailed in Page, G.L.; Quintana, F.A.; Mueller, P (2020)
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) , and
multivariate PPM change point models that are detailed in Quinlan, J.J.; Page, G.L.;
Castro, L.M. (2023) . In addition, a function that fits a
univariate or bivariate functional data model that employs a PPM or a PPMx to
cluster curves based on B-spline coefficients is provided.