mliang4/HMMbvs: Bayesian Variable Selection for HMM/MSM model
Performs Bayesian variable selection for multistate Markov (MSM) and hidden Markov models (HMM) to identify factors associated with transitions between (latent) discrete states in the presence of potential measurement error.
Getting started
Browse package contents
Package details |
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| Author | Mingrui Liang, Matt Koslovsky, Marina Vannucci |
| Maintainer | Mingrui Liang <liangmr3@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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