hmmTMB
Fit Hidden Markov Models using Template Model Builder
Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2025) <doi:10.18637/jss.v114.i05>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling linux/jammy R-4.5 | hmmTMB_1.1.2.tar.gz |
1.9 MiB |
1.1.2 |
rolling linux/noble R-4.5 | hmmTMB_1.1.2.tar.gz |
1.9 MiB |
1.1.2 |
rolling source/ R- | hmmTMB_1.1.2.tar.gz |
231.3 KiB |
1.1.2 |
latest linux/jammy R-4.5 | hmmTMB_1.1.2.tar.gz |
1.9 MiB |
1.1.2 |
latest linux/noble R-4.5 | hmmTMB_1.1.2.tar.gz |
1.9 MiB |
1.1.2 |
latest source/ R- | hmmTMB_1.1.2.tar.gz |
231.3 KiB |
1.1.2 |
2026-04-26 source/ R- | hmmTMB_1.1.2.tar.gz |
231.3 KiB |
1.1.2 |
2026-04-23 source/ R- | hmmTMB_1.1.2.tar.gz |
231.3 KiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | hmmTMB_1.1.2.zip |
2.2 MiB |
1.0.2 |
2025-04-20 source/ R- | hmmTMB_1.0.2.tar.gz |
213.1 KiB |