ppmSuite
A Collection of Models that Employ Product Partition Distributions 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. (2023) doi:10.1214/22-BA1344. 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.
- Version0.3.4
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/16/2023
Documentation
Team
Garritt L. Page
S. McKay Curtis
Show author detailsRolesContributor, Copyright holderRadford M. Neal
Show author detailsRolesContributor, Copyright holderJose J. Quinlan
Show author detailsRolesAuthor, Copyright holder
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