walker
1.0.10Bayesian Generalized Linear Models with Time-Varying Coefficients
Overview
Efficient Bayesian generalized linear models with time-varying coefficients as in Helske (2022, doi:10.1016/j.softx.2022.101016). Gaussian, Poisson, and binomial observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using Hamiltonian Monte Carlo provided by Stan, using a state space representation of the model in order to marginalise over the coefficients for efficient sampling. For non-Gaussian models, the package uses the importance sampling type estimators based on approximate marginal MCMC as in Vihola, Helske, Franks (2020, doi:10.1111/sjos.12492).
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-2913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-07-2712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2211 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 38%
- Documented parameters
- 98%
- Return-value docs
- 40%
- References docs
- 12%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/helske/walker on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
24 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.10Latest
- RR 4.4.0 released · 2024-04-24
- 1.0.82023-09-11 · diff ↗
- 1.0.72023-08-09 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0.6-12022-10-16 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.42022-03-03 · diff ↗
- 1.0.3-12022-01-31 · diff ↗
- 1.0.32021-09-11 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.22021-04-06 · diff ↗
- 1.0.1-12021-01-31 · diff ↗
- 1.0.12021-01-25 · diff ↗
Show 18 earlier events
- 0.5.02020-10-19 · diff ↗
- 0.4.1-32020-08-14 · diff ↗
- 0.4.02020-05-15 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.3.1-12020-01-23 · diff ↗
- 0.3.02019-09-22 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.2.52019-03-04 · diff ↗
- 0.2.4-12019-02-25 · diff ↗
- 0.2.42019-02-15 · diff ↗
- 0.2.3-12018-11-09 · diff ↗
- 0.2.32018-10-23 · diff ↗
- 0.2.22018-10-16 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.2.12018-01-09 · diff ↗
- 0.2.02017-07-12 · diff ↗
- 0.1.02017-06-15
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-06-15
- Total releases
- 24 / 9 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 2.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("walker")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.