Package: ppmSuite Type: Package Title: A Collection of Models that Employ Product Partition Distributions as a Prior on Partitions Version: 0.3.4 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 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. Depends: R (>= 3.5.0) License: GPL Encoding: UTF-8 LazyData: true Suggests: cluster Imports: Matrix NeedsCompilation: yes Packaged: 2026-07-16 06:48:22 UTC; root Author: Garritt L. Page [aut, cre, cph], Jose J. Quinlan [aut, cph], S. McKay Curtis [ctb, cph], Radford M. Neal [ctb, cph] Repository: https://cran.r-universe.dev Date/Publication: 2023-07-16 08:32:43 UTC RemoteUrl: https://github.com/cran/ppmSuite RemoteRef: HEAD RemoteSha: 43e44f63ec1f6254a06b959dc9678355afa794cd