ppmSuite: A Collection of Models that Employ a Product Partition
Distribution as a Prior on Partitions
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>.
| Version: |
0.2.4 |
| Depends: |
R (≥ 3.5.0) |
| Suggests: |
cluster |
| Published: |
2022-06-15 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ppmSuite
to link to this page.