RcppHMM
Rcpp Hidden Markov Model
Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forward-backward decoding and parameter estimation using an Expectation-Maximization approach.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.2.1 |
rolling linux/jammy R-4.5 | RcppHMM_1.2.2.1.tar.gz |
248.3 KiB |
1.2.2.1 |
rolling linux/noble R-4.5 | RcppHMM_1.2.2.1.tar.gz |
253.8 KiB |
1.2.2.1 |
rolling source/ R- | RcppHMM_1.2.2.1.tar.gz |
30.3 KiB |
1.2.2.1 |
latest linux/jammy R-4.5 | RcppHMM_1.2.2.1.tar.gz |
248.3 KiB |
1.2.2.1 |
latest linux/noble R-4.5 | RcppHMM_1.2.2.1.tar.gz |
253.8 KiB |
1.2.2.1 |
latest source/ R- | RcppHMM_1.2.2.1.tar.gz |
30.3 KiB |
1.2.2.1 |
2026-04-26 source/ R- | RcppHMM_1.2.2.1.tar.gz |
30.3 KiB |
1.2.2.1 |
2026-04-23 source/ R- | RcppHMM_1.2.2.1.tar.gz |
30.3 KiB |
1.2.2.1 |
2026-04-09 windows/windows R-4.5 | RcppHMM_1.2.2.1.zip |
564.1 KiB |
1.2.2 |
2025-04-20 source/ R- | RcppHMM_1.2.2.tar.gz |
31.8 KiB |
Dependencies (latest)
Imports
- Rcpp (>= 1.1.0)