KFAS

KFAS: R Package for Exponential Family State Space Models

https://github.com/helske/kfas

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.4%) to scientific vocabulary

Keywords

dynamic-linear-model exponential-family fortran gaussian-models r state-space time-series

Keywords from Contributors

categorical-data em-algorithm hidden-markov-models hmm mixture-markov-models
Last synced: 8 months ago · JSON representation

Repository

KFAS: R Package for Exponential Family State Space Models

Basic Info
  • Host: GitHub
  • Owner: helske
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 1.91 MB
Statistics
  • Stars: 68
  • Watchers: 8
  • Forks: 16
  • Open Issues: 5
  • Releases: 3
Topics
dynamic-linear-model exponential-family fortran gaussian-models r state-space time-series
Created about 12 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog

README.md

R-CMD-check Codecov test coverage cran version downloads

KFAS: R Package for Exponential Family State Space Models

Package KFAS provides tools for modelling exponential family state space models such as structural time series, ARIMA models, generalized linear models and generalized linear mixed models.

Paper at JSS

If you use KFAS in your paper, please cite it properly, see citation("KFAS") in R, or above link to the paper.

See also bssm package if your are more interested in Bayesian inference on state space models.

Main features

  • Kalman filtering
  • Fixed interval smoothing (Kalman smoothing)
  • Simulation smoothing of Gaussian models
  • Importance sampling based inference of non-Gaussian models
  • Exact diffuse initialization
  • Sequential processing (univariate treatment of multivariate models)
  • Multivariate models with mixed distributions

Most of the algorithms are based on book "Time Series Analysis by State Space Methods" and related articles by J. Durbin and S.J. Koopman.

KFAS is available at CRAN. You can install the latest development version from the GitHub using the devtools package:

R install.packages("devtools") library(devtools) install_github("helske/KFAS")

See * help(KFAS) in R for examples, and many more examples under different functions, as well as the Paper at JSS. * ChangeLog for changes.

Owner

  • Name: Jouni Helske
  • Login: helske
  • Kind: user
  • Location: Finland
  • Company: University of Jyväskylä

Bayesian statistics, time series, causal inference, state space models, hidden Markov models, visualization.

GitHub Events

Total
  • Issues event: 3
  • Watch event: 5
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 8
Last Year
  • Issues event: 3
  • Watch event: 5
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 8

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 368
  • Total Committers: 5
  • Avg Commits per committer: 73.6
  • Development Distribution Score (DDS): 0.043
Past Year
  • Commits: 10
  • Committers: 2
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.2
Top Committers
Name Email Commits
Jouni Helske j****e@j****i 352
Jouni Helske j****s@u****i 8
Jouni Helske j****1@l****e 6
Grégoire Gauriot g****t@y****u 1
Giuseppe Ragusa g****a@g****m 1
Committer Domains (Top 20 + Academic)
yadn.eu: 1 liu.se: 1 utu.fi: 1 jyu.fi: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 79
  • Total pull requests: 2
  • Average time to close issues: 6 months
  • Average time to close pull requests: about 17 hours
  • Total issue authors: 43
  • Total pull request authors: 2
  • Average comments per issue: 3.33
  • Average comments per pull request: 1.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 7 months
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 4.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • suprajamalladi (6)
  • helske (6)
  • Vera1996 (6)
  • k41m4n (5)
  • zjph602xtc (4)
  • markov2264 (3)
  • andrewbcooper (3)
  • yuanyuan2319 (2)
  • sschloss1 (2)
  • AdamElderfield (2)
  • chuckcoleman (2)
  • sue-shine (2)
  • ghost (2)
  • bking124 (2)
  • trickster (2)
Pull Request Authors
  • GregoireGauriot (1)
  • gragusa (1)
Top Labels
Issue Labels
enhancement (11) question (4) bug (2)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 25,046 last-month
  • Total docker downloads: 43,821
  • Total dependent packages: 17
    (may contain duplicates)
  • Total dependent repositories: 36
    (may contain duplicates)
  • Total versions: 62
  • Total maintainers: 1
cran.r-project.org: KFAS

Kalman Filter and Smoother for Exponential Family State Space Models

  • Versions: 59
  • Dependent Packages: 16
  • Dependent Repositories: 36
  • Downloads: 25,046 Last month
  • Docker Downloads: 43,821
Rankings
Dependent packages count: 4.0%
Downloads: 4.2%
Dependent repos count: 4.3%
Forks count: 5.2%
Stargazers count: 6.1%
Average: 8.1%
Docker downloads count: 24.8%
Maintainers (1)
Last synced: 9 months ago
conda-forge.org: r-kfas
  • Versions: 3
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Dependent packages count: 28.8%
Dependent repos count: 34.0%
Average: 34.5%
Stargazers count: 36.0%
Forks count: 39.0%
Last synced: 9 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1.0 depends
  • stats * imports
  • MASS * suggests
  • Matrix * suggests
  • knitr * suggests
  • lme4 * suggests
  • testthat * suggests
.github/workflows/check-standard.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
  • r-lib/actions/setup-tinytex v2 composite