ppmSuite: A Collection of Models that Employ a Product Parition Prior Distribution on Partitions

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>.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Suggests: cluster
Published: 2022-01-21
Author: Garritt L. Page [aut, cre, cph], Jose J. Quinlan [aut, cph], S. McKay Curtis [ctb, cph], Radford M. Neal [ctb, cph]
Maintainer: Garritt L. Page <page at stat.byu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
In views: MissingData
CRAN checks: ppmSuite results


Reference manual: ppmSuite.pdf


Package source: ppmSuite_0.2.1.tar.gz
Windows binaries: r-devel: ppmSuite_0.2.1.zip, r-release: ppmSuite_0.2.1.zip, r-oldrel: ppmSuite_0.2.1.zip
macOS binaries: r-release (arm64): ppmSuite_0.2.1.tgz, r-release (x86_64): ppmSuite_0.2.1.tgz, r-oldrel: ppmSuite_0.2.1.tgz
Old sources: ppmSuite archive


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