Package: ppmSuite
Type: Package
Title: A Collection of Models that Employ a Prior Distribution on
        Partitions
Version: 0.1.3
Authors@R: c(
  person(given = "Garritt L.", family = "Page", email = "page@stat.byu.edu", role = c("aut", "cre", "cph")),
	person(given = "S. McKay", family = "Curtis", email = "s.mckay.curtis@gmail.com", role = c("ctb", "cph")),
	person(given = "Radford M.", family = "Neal", role = c("ctb", "cph")))
Maintainer: Garritt L. Page <page@stat.byu.edu>
Description: 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)
                <doi:10.1007/s11222-017-9777-z> are available.  If covariate values
                are missing, then the approach detailed in Page, G.L.; Quintana, F.A.; 
                Mueller, P (2020) <arXiv: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) 
                <doi:10.1214/15-BA971>.
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
LazyData: true
Suggests: cluster
NeedsCompilation: yes
Packaged: 2020-12-31 19:29:42 UTC; gpage
Author: Garritt L. Page [aut, cre, cph],
  S. McKay Curtis [ctb, cph],
  Radford M. Neal [ctb, cph]
Repository: CRAN
Date/Publication: 2021-01-04 20:30:02 UTC
