bayesdfa

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Packages / CRAN / bayesdfa

bayesdfa

v1.3.4
Repository CRANLicense GPL (>= 3)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.bayesdfa
Task views
Bayesian Inference, Time Series Analysis

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

1
Task views
Bayesian Inference, Time Series Analysis

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.3.4
License
GPL (>= 3)
Lifecycle
active
Needs compilation
yes
Last observed
2026-06-04
CRAN
cran.r-project.org/package=bayesdfa

Build fields

LinkingTo
6
BH (>= 1.66.0)Rcpp (>= 0.12.0)RcppEigen (>= 0.3.3.3.0)RcppParallel (>= 5.0.1)rstan (>= 2.26.0)StanHeaders (>= 2.26.0)

수집 소스별 패키지 정보

1개 소스
CRAN
1.3.4
2026-06-04
License
GPL (>= 3)
Depends
R (>= 3.5.0)
Imports
dplyr, ggplot2, loo (>= 2.7.0), methods, mgcv (>= 1.8.13), Rcpp (>= 0.12.0), reshape2, rlang, rstan (>= 2.26.0), splines, viridisLite
Suggests
testthat, parallel, knitr, rmarkdown
LinkingTo
BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
Needs compilation
yes
Lifecycle
active
Last observed
2026-06-04 01:07:22

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5개 표시전체 21개
PackageTypeSpec
dplyr
CRAN · 1.3.4 · 2026-06-04
Importsdplyr
ggplot2
CRAN · 1.3.4 · 2026-06-04
Importsggplot2
loo
CRAN · 1.3.4 · 2026-06-04
Importsloo (>= 2.7.0)
methods
CRAN · 1.3.4 · 2026-06-04
Importsmethods
mgcv
CRAN · 1.3.4 · 2026-06-04
Importsmgcv (>= 1.8.13)
1 / 5

이 패키지를 쓰는 패키지

0개 표시전체 0개
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표시할 dependency edge가 없습니다.
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패키지 페이지

All links
60
Repository
CRAN
Version
1.3.4
Collected
2026-05-21 00:49:03
Package page
https://cran.r-project.org/web/packages/bayesdfa/index.html
DOI
10.32614/CRAN.package.bayesdfa
CRAN checks
https://cran.r-project.org/web/checks/check_results_bayesdfa.html
NEWS
https://cran.r-project.org/web/packages/bayesdfa/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/bayesdfa/refman/bayesdfa.html
Reference PDF
https://cran.r-project.org/web/packages/bayesdfa/bayesdfa.pdf
Source package
https://cran.r-project.org/src/contrib/bayesdfa_1.3.4.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/bayesdfa
In views
BayesianTimeSeries
Page fields
Author
Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Philina A. English [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia University [cph]
BugReports
https://github.com/fate-ewi/bayesdfa/issues
CRAN Checks
bayesdfa results
DOI
10.32614/CRAN.package.bayesdfa
In Views
Bayesian , TimeSeries
License
GPL (≥ 3)
LinkingTo
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Maintainer
Eric J. Ward <eric.ward at noaa.gov>
Materials
NEWS
NeedsCompilation
yes
Old Sources
bayesdfa archive
Package Source
bayesdfa_1.3.4.tar.gz
Published
2025-03-22
Reference Manual
bayesdfa.html , bayesdfa.pdf
SystemRequirements
GNU make
URL
https://fate-ewi.github.io/bayesdfa/
Version
1.3.4
Vignettes
Overview of the bayesdfa package ( source , R code ) Combining data with bayesdfa ( source , R code ) Examples of including covariates with bayesdfa ( source , R code ) Examples of fitting smooth trend DFA models ( source , R code ) Estimating process trend variability with bayesdfa ( source , R code ) Fitting compositional dynamic factor models with bayesdfa ( source , R code ) Examples of fitting DFA models with lots of data ( source , R code )
Windows Binaries
r-devel: bayesdfa_1.3.4.zip , r-release: bayesdfa_1.3.4.zip , r-oldrel: bayesdfa_1.3.4.zip
MacOS Binaries
r-release (arm64): bayesdfa_1.3.4.tgz , r-oldrel (arm64): bayesdfa_1.3.4.tgz , r-release (x86_64): bayesdfa_1.3.4.tgz , r-oldrel (x86_64): bayesdfa_1.3.4.tgz
Version
1.3.4
LinkingTo
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
BHRcppRcppEigenRcppParallelrstanStanHeaders
Published
2025-03-22
DOI
10.32614/CRAN.package.bayesdfa
10.32614/CRAN.package.bayesdfa
Author
Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Philina A. English [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia University [cph]
Maintainer
Eric J. Ward <eric.ward at noaa.gov>
BugReports
https://github.com/fate-ewi/bayesdfa/issues
https://github.com/fate-ewi/bayesdfa/issues
License
GPL (≥ 3)
GPL (≥ 3)
URL
https://fate-ewi.github.io/bayesdfa/
https://fate-ewi.github.io/bayesdfa/
NeedsCompilation
yes
SystemRequirements
GNU make
Materials
NEWS
NEWS
In Views
Bayesian , TimeSeries
BayesianTimeSeries
CRAN Checks
bayesdfa results
bayesdfa results
Reference Manual
bayesdfa.html , bayesdfa.pdf
bayesdfa.htmlbayesdfa.pdf
Vignettes
Overview of the bayesdfa package ( source , R code ) Combining data with bayesdfa ( source , R code ) Examples of including covariates with bayesdfa ( source , R code ) Examples of fitting smooth trend DFA models ( source , R code ) Estimating process trend variability with bayesdfa ( source , R code ) Fitting compositional dynamic factor models with bayesdfa ( source , R code ) Examples of fitting DFA models with lots of data ( source , R code )
Overview of the bayesdfa packagesourceR codeCombining data with bayesdfasourceR codeExamples of including covariates with bayesdfasourceR codeExamples of fitting smooth trend DFA modelssourceR codeEstimating process trend variability with bayesdfasourceR codeFitting compositional dynamic factor models with bayesdfasourceR codeExamples of fitting DFA models with lots of datasource
Package Source
bayesdfa_1.3.4.tar.gz
bayesdfa_1.3.4.tar.gz
Windows Binaries
r-devel: bayesdfa_1.3.4.zip , r-release: bayesdfa_1.3.4.zip , r-oldrel: bayesdfa_1.3.4.zip
bayesdfa_1.3.4.zipbayesdfa_1.3.4.zipbayesdfa_1.3.4.zip
MacOS Binaries
r-release (arm64): bayesdfa_1.3.4.tgz , r-oldrel (arm64): bayesdfa_1.3.4.tgz , r-release (x86_64): bayesdfa_1.3.4.tgz , r-oldrel (x86_64): bayesdfa_1.3.4.tgz
bayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgz
Old Sources
bayesdfa archive
bayesdfa archive
Page sections 3
Documentation
Heading
Documentation
Links
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Text
Reference manual: bayesdfa.html , bayesdfa.pdf Vignettes: Overview of the bayesdfa package ( source , R code ) Combining data with bayesdfa ( source , R code ) Examples of including covariates with bayesdfa ( source , R code ) Examples of fitting smooth trend DFA models ( source , R code ) Estimating process trend variability with bayesdfa ( source , R code ) Fitting compositional dynamic factor models with bayesdfa ( source , R code ) Examples of fitting DFA models with lots of data ( source , R code )
Downloads
Heading
Downloads
Links
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Text
Package source: bayesdfa_1.3.4.tar.gz Windows binaries: r-devel: bayesdfa_1.3.4.zip , r-release: bayesdfa_1.3.4.zip , r-oldrel: bayesdfa_1.3.4.zip macOS binaries: r-release (arm64): bayesdfa_1.3.4.tgz , r-oldrel (arm64): bayesdfa_1.3.4.tgz , r-release (x86_64): bayesdfa_1.3.4.tgz , r-oldrel (x86_64): bayesdfa_1.3.4.tgz Old sources: bayesdfa archive
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=bayesdfa","section":"","type":"","url":"https://CRAN.R-project.org/package=bayesdfa"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=bayesdfa to link to this page.
Materials 1
NEWS
Documentation 23
bayesdfa.htmlbayesdfa.pdfOverview of the bayesdfa packagesourceR codeCombining data with bayesdfasourceR codeExamples of including covariates with bayesdfasourceR codeExamples of fitting smooth trend DFA modelssourceR codeEstimating process trend variability with bayesdfasourceR codeFitting compositional dynamic factor models with bayesdfasourceR codeExamples of fitting DFA models with lots of datasourceR code
Vignettes 21
Overview of the bayesdfa packagesourceR codeCombining data with bayesdfasourceR codeExamples of including covariates with bayesdfasourceR codeExamples of fitting smooth trend DFA modelssourceR codeEstimating process trend variability with bayesdfasourceR codeFitting compositional dynamic factor models with bayesdfasourceR codeExamples of fitting DFA models with lots of datasourceR code
Downloads 9
bayesdfa_1.3.4.tar.gzbayesdfa_1.3.4.zipbayesdfa_1.3.4.zipbayesdfa_1.3.4.zipbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa archive
All page links 60
dplyrggplot2loomethodsmgcvRcppreshape2rlangrstansplinesviridisLiteBHRcppEigenRcppParallelStanHeaderstestthatparallelknitrrmarkdown10.32614/CRAN.package.bayesdfahttps://github.com/fate-ewi/bayesdfa/issuesGPL (≥ 3)https://fate-ewi.github.io/bayesdfa/NEWSBayesianTimeSeriesbayesdfa resultsbayesdfa.htmlbayesdfa.pdfOverview of the bayesdfa packagesourceR codeCombining data with bayesdfasourceR codeExamples of including covariates with bayesdfasourceR codeExamples of fitting smooth trend DFA modelssourceR codeEstimating process trend variability with bayesdfasourceR codeFitting compositional dynamic factor models with bayesdfasourceR codeExamples of fitting DFA models with lots of datasourcebayesdfa_1.3.4.tar.gzbayesdfa_1.3.4.zipbayesdfa_1.3.4.zipbayesdfa_1.3.4.zipbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa_1.3.4.tgzbayesdfa archiveR codehttps://CRAN.R-project.org/package=bayesdfa

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.3.32024-02-262026-05-312026-05-31
CRAN1.3.22024-01-122026-05-312026-05-31
CRAN1.3.12023-10-112026-05-312026-05-31
CRAN1.2.02021-09-282026-05-312026-05-31
CRAN1.1.02021-05-282026-05-312026-05-31
CRAN1.0.02021-05-192026-05-312026-05-31
CRAN0.1.72021-05-042026-05-312026-05-31
CRAN0.1.62020-09-212026-05-312026-05-31
CRAN0.1.52020-09-022026-05-312026-05-31
CRAN0.1.32019-05-222026-05-312026-05-31
CRAN0.1.22019-03-052026-05-312026-05-31
CRAN0.1.12018-11-092026-05-312026-05-31
CRAN0.1.02018-09-192026-05-312026-05-31
CRAN1.3.42026-06-012026-06-04

보안

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문헌 신호

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CRAN Task Views

Bayesian Inference · 2026-06-04Time Series Analysis · 2026-06-04