Bayesian Analysis of Dynamic Generalized Linear Models
Overview
Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)doi:10.48550/arXiv.2201.05387 and dos Santos Jr. et al. (2024)doi:10.48550/arXiv.2403.13069.
Install
Health
- OK13 OK2026-08-23
- ERROR11 OK, 2 ERROR2026-08-14
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-04
Show 9 earlier changesHide 9 earlier changes
- ERROR12 OK, 1 ERROR2026-06-29
- OK13 OK2026-06-27
- ERROR12 OK, 1 ERROR2026-06-24
- OK13 OK2026-06-20
- ERROR11 OK, 2 ERROR2026-06-17
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-06
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 94 (61 internal)
- Examples that run
- 100%31 run in a plain check
- Exported functions with examples
- 74%
- Documented parameters
- 96%
- Return-value docs
- 97%
- Help pages citing references
- 17% with a bibliography file
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 77
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Issues over time
Commits over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/silvaneojunior/kdglm on 2026-10-21.
GitHub Pages site last deployed 2026-09-07
pkgdown site last built 2026-08-28, before release 1.2.15 (2026-08-29)
Dependencies
Installing kDGLM adds 10 packages (8 with compiled code, 6.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, rbibutils 1.1 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
Maintainer since 1.2.0 (2024)
Package metadata
- First published
- 2024-05-25
- Total releases
- 5 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 156 KB / 4 files
- Download size
- 1.9 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("kDGLM")The package provides a citation file, so citation() returns the authors' own entry.
The repository also keeps a CITATION.cff.
Cite the R Observatory
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