Calculate 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.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 0%6 never run
- Exported functions with examples
- 56%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 30%
Also includes 1 demo script (run with demo())
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 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
- First published
- 2013-10-07
- Total releases
- 2 / 13 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.15.0
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