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NHMM: Bayesian Non-Homogeneous Markov and Mixture Models for Multiple Time Series
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.
Getting started
Browse package contents
Package details |
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| Author | Tracy Holsclaw |
| Maintainer | Tracy Holsclaw <iamrandom@iamrandom.com> |
| License | GPL (>= 3) |
| Version | 3.11 |
| URL | http://iamrandom.com/nhmm-package |
| Package repository | View on CRAN |
| Installation |
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