bayesdfa

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / bayesdfa

bayesdfa

v1.3.4

bayesdfa

Repository CRANLicense GPL (>= 3)Lifecycle activeNeeds compilation yes

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.bayesdfa

Task views

Bayesian Inference, Time Series Analysis

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Bayesian Inference, Time Series Analysis

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

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

2026-05-30

CRAN: cran.r-project.org/package=bayesdfa

Build fields

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)

수집 소스별 패키지 정보

1개 소스

CRAN

1.3.4

2026-05-30

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

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 21개

Package	Type	Spec
dplyr CRAN · 1.3.4 · 2026-05-30	Imports	dplyr
ggplot2 CRAN · 1.3.4 · 2026-05-30	Imports	ggplot2
loo CRAN · 1.3.4 · 2026-05-30	Imports	loo (>= 2.7.0)
methods CRAN · 1.3.4 · 2026-05-30	Imports	methods
mgcv CRAN · 1.3.4 · 2026-05-30	Imports	mgcv (>= 1.8.13)
Rcpp CRAN · 1.3.4 · 2026-05-30	Imports	Rcpp (>= 0.12.0)
reshape2 CRAN · 1.3.4 · 2026-05-30	Imports	reshape2
rlang CRAN · 1.3.4 · 2026-05-30	Imports	rlang
rstan CRAN · 1.3.4 · 2026-05-30	Imports	rstan (>= 2.26.0)
splines CRAN · 1.3.4 · 2026-05-30	Imports	splines
viridisLite CRAN · 1.3.4 · 2026-05-30	Imports	viridisLite
BH CRAN · 1.3.4 · 2026-05-30	LinkingTo	BH (>= 1.66.0)
Rcpp CRAN · 1.3.4 · 2026-05-30	LinkingTo	Rcpp (>= 0.12.0)
RcppEigen CRAN · 1.3.4 · 2026-05-30	LinkingTo	RcppEigen (>= 0.3.3.3.0)
RcppParallel CRAN · 1.3.4 · 2026-05-30	LinkingTo	RcppParallel (>= 5.0.1)
rstan CRAN · 1.3.4 · 2026-05-30	LinkingTo	rstan (>= 2.26.0)
StanHeaders CRAN · 1.3.4 · 2026-05-30	LinkingTo	StanHeaders (>= 2.26.0)
knitr CRAN · 1.3.4 · 2026-05-30	Suggests	knitr
parallel CRAN · 1.3.4 · 2026-05-30	Suggests	parallel
rmarkdown CRAN · 1.3.4 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 1.3.4 · 2026-05-30	Suggests	testthat
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All links

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)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders

Published

2025-03-22

DOI

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

License

GPL (≥ 3)

URL

https://fate-ewi.github.io/bayesdfa/

NeedsCompilation

yes

SystemRequirements

GNU make

Materials

NEWS

In Views

Bayesian , TimeSeries

Bayesian TimeSeries

CRAN Checks

bayesdfa results

Reference Manual

bayesdfa.html , bayesdfa.pdf

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 )

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

bayesdfa_1.3.4.zip bayesdfa_1.3.4.zip 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

bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz

Old Sources

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

Vignettes 21

Downloads 9

bayesdfa_1.3.4.tar.gz bayesdfa_1.3.4.zip bayesdfa_1.3.4.zip bayesdfa_1.3.4.zip bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa archive

All page links 60

dplyr ggplot2 loo methods mgcv Rcpp reshape2 rlang rstan splines viridisLite BH RcppEigen RcppParallel StanHeaders testthat parallel knitr rmarkdown 10.32614/CRAN.package.bayesdfa https://github.com/fate-ewi/bayesdfa/issues GPL (≥ 3)https://fate-ewi.github.io/bayesdfa/NEWS Bayesian TimeSeries bayesdfa results bayesdfa.html bayesdfa.pdf 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 bayesdfa_1.3.4.tar.gz bayesdfa_1.3.4.zip bayesdfa_1.3.4.zip bayesdfa_1.3.4.zip bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa_1.3.4.tgz bayesdfa archive R code https://CRAN.R-project.org/package=bayesdfa

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.3.4		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Bayesian Inference · 2026-05-30 Time Series Analysis · 2026-05-30