bayesSSM
0.7.1Bayesian Methods for State Space Models
Overview
Implements methods for Bayesian analysis of State Space Models. Includes implementations of the Particle Marginal Metropolis-Hastings algorithm described in Andrieu et al. (2010) doi:10.1111/j.1467-9868.2009.00736.x and automatic tuning inspired by Pitt et al. (2012) doi:10.1016/j.jeconom.2012.06.004 and J. Dahlin and T. B. Schön (2019) doi:10.18637/jss.v088.c02.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
- 100%
- References docs
- 32%
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Package metadata
- First published
- 2025-04-23
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 174 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet