The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Model-based clustering using Bayesian parsimonious Gaussian mixture models. MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection. GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.
| Version: | 1.0.9 |
| Depends: | R (≥ 3.1.0) |
| Imports: | methods (≥ 3.5.1), mcmcse (≥ 1.3-2), pgmm (≥ 1.2.3), mvtnorm (≥ 1.0-10), MASS (≥ 7.3-51.1), Rcpp (≥ 1.0.1), gtools (≥ 3.8.1), label.switching (≥ 1.8), fabMix (≥ 5.0), mclust (≥ 5.4.3) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat |
| Published: | 2022-06-01 |
| DOI: | 10.32614/CRAN.package.bpgmm |
| Author: | Xiang Lu <Xiang_Lu at urmc.rochester.edu>, Yaoxiang Li <yl814 at georgetown.edu>, Tanzy Love <tanzy_love at urmc.rochester.edu> |
| Maintainer: | Yaoxiang Li <yl814 at georgetown.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| CRAN checks: | bpgmm results |
| Reference manual: | bpgmm.pdf |
| Package source: | bpgmm_1.0.9.tar.gz |
| Windows binaries: | r-devel: bpgmm_1.0.9.zip, r-release: bpgmm_1.0.9.zip, r-oldrel: bpgmm_1.0.9.zip |
| macOS binaries: | r-release (arm64): bpgmm_1.0.9.tgz, r-oldrel (arm64): bpgmm_1.0.9.tgz, r-release (x86_64): bpgmm_1.0.9.tgz, r-oldrel (x86_64): bpgmm_1.0.9.tgz |
| Old sources: | bpgmm archive |
Please use the canonical form https://CRAN.R-project.org/package=bpgmm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.