Holsclaw, Greene, Robertson, and Smyth (2017) <doi:10.1214/16-AOAS1009>. Bayesian HMM and NHMM modeling for multiple time series. The emission distribution can be mixtures of Exponential, Gamma, Poisson, or Normal distributions, and zero inflation is possible.
| Version: | 3.11 |
| Depends: | BayesLogit, msm, MCMCpack, MASS |
| Imports: | Rcpp (≥ 0.11.0) |
| LinkingTo: | Rcpp |
| Published: | 2020-06-30 |
| Author: | Tracy Holsclaw |
| Maintainer: | Tracy Holsclaw <iamrandom at iamrandom.com> |
| License: | GPL (≥ 3) |
| URL: | http://iamrandom.com/nhmm-package |
| NeedsCompilation: | yes |
| Citation: | NHMM citation info |
| CRAN checks: | NHMM results |
| Reference manual: | NHMM.pdf |
| Package source: | NHMM_3.11.tar.gz |
| Windows binaries: | r-devel: NHMM_3.11.zip, r-release: NHMM_3.11.zip, r-oldrel: NHMM_3.11.zip |
| macOS binaries: | r-release (arm64): NHMM_3.11.tgz, r-oldrel (arm64): NHMM_3.11.tgz, r-release (x86_64): NHMM_3.11.tgz, r-oldrel (x86_64): NHMM_3.11.tgz |
| Old sources: | NHMM archive |
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