pomp
Statistical Inference for Partially Observed Markov Processes
Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
6.4 |
rolling linux/jammy R-4.5 | pomp_6.4.tar.gz |
1.4 MiB |
6.4 |
rolling linux/noble R-4.5 | pomp_6.4.tar.gz |
1.4 MiB |
6.4 |
rolling source/ R- | pomp_6.4.tar.gz |
405.6 KiB |
6.4 |
latest linux/jammy R-4.5 | pomp_6.4.tar.gz |
1.4 MiB |
6.4 |
latest linux/noble R-4.5 | pomp_6.4.tar.gz |
1.4 MiB |
6.4 |
latest source/ R- | pomp_6.4.tar.gz |
405.6 KiB |
6.4 |
2026-04-26 source/ R- | pomp_6.4.tar.gz |
405.6 KiB |
6.4 |
2026-04-23 source/ R- | pomp_6.4.tar.gz |
405.6 KiB |
6.4 |
2026-04-09 windows/windows R-4.5 | pomp_6.4.zip |
1.4 MiB |
6.2 |
2025-04-20 source/ R- | pomp_6.2.tar.gz |
406.7 KiB |