Package: ppmSuite
Type: Package
Title: A Collection of Models that Employ a Product Partition
        Distribution as a Prior on Partitions
Version: 0.2.4
Authors@R: c(
  person(given = "Garritt L.", family = "Page", email = "page@stat.byu.edu", role = c("aut", "cre", "cph")),
  person(given = "Jose", family = "J. Quinlan", email = "jjquinla@uc.cl", role = c("aut", "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 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) 
                <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) 
                <doi:10.1080/10618600.2021.1999824> 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>, and 
                multivariate PPM change point models that are detailed in Quinlan, J.J.; Page, G.L.; 
                Castro, L.M. (2021) <arXiv:2201.07830>.
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
LazyData: true
Suggests: cluster
NeedsCompilation: yes
Packaged: 2022-06-15 08:30:39 UTC; gpage
Author: Garritt L. Page [aut, cre, cph],
  Jose J. Quinlan [aut, cph],
  S. McKay Curtis [ctb, cph],
  Radford M. Neal [ctb, cph]
Repository: CRAN
Date/Publication: 2022-06-15 09:30:06 UTC
