tsbridge
1.1Calculate normalising constants for Bayesian time series models.
Overview
The tsbridge package contains a collection of R functions that can be used to estimate normalising constants using the bridge sampler of Meng and Wong (1996). The functions can be applied to calculate posterior model probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS, and models themselves are created using the tsbugs package.
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Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2019-03-01depends on archived package 'tsbugs' by the same author
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.12013-10-07 · diff ↗
- 1.02013-10-07
- RR 3.0.0 released · 2013-04-03
Package metadata
- Total releases
- 2
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.15.0
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