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 |
Documentation:
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