mcmcsae

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / mcmcsae

mcmcsae

v0.8.0
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.mcmcsae

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
C
collapse
Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.8.0
License
GPL-3
Lifecycle
active
Needs compilation
yes
Last observed
2026-05-30
CRAN
cran.r-project.org/package=mcmcsae

Build fields

LinkingTo
4
RcppRcppEigenMatrixGIGrvg

수집 소스별 패키지 정보

1개 소스
CRAN
0.8.0
2026-05-30
License
GPL-3
Depends
R (>= 4.1.0)
Imports
Matrix (>= 1.6.2), Rcpp (>= 0.11.0), methods, GIGrvg (>= 0.7), loo (>= 2.0.0), collapse
Suggests
dbarts, BayesLogit, lintools, splines, mgcv, spdep, sf, bayesplot, coda, posterior, parallel, testthat, roxygen2, knitr, rmarkdown, survey
LinkingTo
Rcpp, RcppEigen, Matrix, GIGrvg
Needs compilation
yes
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 26개
PackageTypeSpec
collapse
CRAN · 0.8.0 · 2026-05-30
Importscollapse
GIGrvg
CRAN · 0.8.0 · 2026-05-30
ImportsGIGrvg (>= 0.7)
loo
CRAN · 0.8.0 · 2026-05-30
Importsloo (>= 2.0.0)
Matrix
CRAN · 0.8.0 · 2026-05-30
ImportsMatrix (>= 1.6.2)
methods
CRAN · 0.8.0 · 2026-05-30
Importsmethods
1 / 6

이 패키지를 쓰는 패키지

1개 표시전체 1개
PackageTypeSpec
hbsae
1.2
CRAN · 2026-05-30
Suggestsmcmcsae
1 / 1

Reverse dependency summary

1 types
TypePackages
Suggests1

패키지 페이지

Reverse suggests
2
All links
49
Repository
CRAN
Version
0.8.0
Collected
2026-05-28 03:58:39
Package page
https://cran.r-project.org/web/packages/mcmcsae/index.html
DOI
10.32614/CRAN.package.mcmcsae
CRAN checks
https://cran.r-project.org/web/checks/check_results_mcmcsae.html
NEWS
https://cran.r-project.org/web/packages/mcmcsae/NEWS
Reference HTML
https://cran.r-project.org/web/packages/mcmcsae/refman/mcmcsae.html
Reference PDF
https://cran.r-project.org/web/packages/mcmcsae/mcmcsae.pdf
Source package
https://cran.r-project.org/src/contrib/mcmcsae_0.8.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/mcmcsae
Page fields
Author
Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb]
CRAN Checks
mcmcsae results
DOI
10.32614/CRAN.package.mcmcsae
Language
en-GB
License
GPL-3
LinkingTo
Rcpp , RcppEigen , Matrix , GIGrvg
Maintainer
Harm Jan Boonstra <hjboonstra at gmail.com>
Materials
NEWS
NeedsCompilation
yes
Old Sources
mcmcsae archive
Package Source
mcmcsae_0.8.0.tar.gz
Published
2025-09-12
Reference Manual
mcmcsae.html , mcmcsae.pdf
Reverse Suggests
hbsae
Version
0.8.0
Vignettes
Basic area-level model ( source , R code ) Linear regression, prediction, and survey weighting ( source , R code ) Basic unit-level models ( source , R code )
Windows Binaries
r-devel: mcmcsae_0.8.0.zip , r-release: mcmcsae_0.8.0.zip , r-oldrel: mcmcsae_0.8.0.zip
MacOS Binaries
r-release (arm64): mcmcsae_0.8.0.tgz , r-oldrel (arm64): mcmcsae_0.8.0.tgz , r-release (x86_64): mcmcsae_0.8.0.tgz , r-oldrel (x86_64): mcmcsae_0.8.0.tgz
Version
0.8.0
LinkingTo
Rcpp , RcppEigen , Matrix , GIGrvg
RcppRcppEigenMatrixGIGrvg
Published
2025-09-12
DOI
10.32614/CRAN.package.mcmcsae
10.32614/CRAN.package.mcmcsae
Author
Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb]
Maintainer
Harm Jan Boonstra <hjboonstra at gmail.com>
License
GPL-3
GPL-3
NeedsCompilation
yes
Language
en-GB
Materials
NEWS
NEWS
CRAN Checks
mcmcsae results
mcmcsae results
Reference Manual
mcmcsae.html , mcmcsae.pdf
mcmcsae.htmlmcmcsae.pdf
Vignettes
Basic area-level model ( source , R code ) Linear regression, prediction, and survey weighting ( source , R code ) Basic unit-level models ( source , R code )
Basic area-level modelsourceR codeLinear regression, prediction, and survey weightingsourceR codeBasic unit-level modelssourceR code
Package Source
mcmcsae_0.8.0.tar.gz
mcmcsae_0.8.0.tar.gz
Windows Binaries
r-devel: mcmcsae_0.8.0.zip , r-release: mcmcsae_0.8.0.zip , r-oldrel: mcmcsae_0.8.0.zip
mcmcsae_0.8.0.zipmcmcsae_0.8.0.zipmcmcsae_0.8.0.zip
MacOS Binaries
r-release (arm64): mcmcsae_0.8.0.tgz , r-oldrel (arm64): mcmcsae_0.8.0.tgz , r-release (x86_64): mcmcsae_0.8.0.tgz , r-oldrel (x86_64): mcmcsae_0.8.0.tgz
mcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgz
Old Sources
mcmcsae archive
mcmcsae archive
Reverse Suggests
hbsae
hbsae
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"mcmcsae.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/refman/mcmcsae.html"},{"label":"mcmcsae.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/mcmcsae.pdf"},{"label":"Basic area-level model","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/area_level.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/area_level.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/area_level.R"},{"label":"Linear regression, prediction, and survey weighting","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/linear_weighting.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/linear_weighting.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/linear_weighting.R"},{"label":"Basic unit-level models","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/unit_level.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/unit_level.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mcmcsae/vignettes/unit_level.R"}]
Text
Reference manual: mcmcsae.html , mcmcsae.pdf Vignettes: Basic area-level model ( source , R code ) Linear regression, prediction, and survey weighting ( source , R code ) Basic unit-level models ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"mcmcsae_0.8.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/mcmcsae_0.8.0.tar.gz"},{"label":"mcmcsae_0.8.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/mcmcsae_0.8.0.zip"},{"label":"mcmcsae_0.8.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/mcmcsae_0.8.0.zip"},{"label":"mcmcsae_0.8.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/mcmcsae_0.8.0.zip"},{"label":"mcmcsae_0.8.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/mcmcsae_0.8.0.tgz"},{"label":"mcmcsae_0.8.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/mcmcsae_0.8.0.tgz"},{"label":"mcmcsae_0.8.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/mcmcsae_0.8.0.tgz"},{"label":"mcmcsae_0.8.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/mcmcsae_0.8.0.tgz"},{"label":"mcmcsae archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/mcmcsae"}]
Text
Package source: mcmcsae_0.8.0.tar.gz Windows binaries: r-devel: mcmcsae_0.8.0.zip , r-release: mcmcsae_0.8.0.zip , r-oldrel: mcmcsae_0.8.0.zip macOS binaries: r-release (arm64): mcmcsae_0.8.0.tgz , r-oldrel (arm64): mcmcsae_0.8.0.tgz , r-release (x86_64): mcmcsae_0.8.0.tgz , r-oldrel (x86_64): mcmcsae_0.8.0.tgz Old sources: mcmcsae archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"hbsae","section":"","type":"","url":"https://cran.r-project.org/web/packages/hbsae/index.html"}]
Text
Reverse suggests: hbsae
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=mcmcsae","section":"","type":"","url":"https://CRAN.R-project.org/package=mcmcsae"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=mcmcsae to link to this page.
Materials 1
NEWS
Documentation 11
mcmcsae.htmlmcmcsae.pdfBasic area-level modelsourceR codeLinear regression, prediction, and survey weightingsourceR codeBasic unit-level modelssourceR code
Vignettes 9
Basic area-level modelsourceR codeLinear regression, prediction, and survey weightingsourceR codeBasic unit-level modelssourceR code
Downloads 9
mcmcsae_0.8.0.tar.gzmcmcsae_0.8.0.zipmcmcsae_0.8.0.zipmcmcsae_0.8.0.zipmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae archive
All page links 49
MatrixRcppmethodsGIGrvgloocollapseRcppEigendbartsBayesLogitlintoolssplinesmgcvspdepsfbayesplotcodaposteriorparalleltestthatroxygen2knitrrmarkdownsurvey10.32614/CRAN.package.mcmcsaeGPL-3NEWSmcmcsae resultsmcmcsae.htmlmcmcsae.pdfBasic area-level modelsourceR codeLinear regression, prediction, and survey weightingsourceR codeBasic unit-level modelssourceR codemcmcsae_0.8.0.tar.gzmcmcsae_0.8.0.zipmcmcsae_0.8.0.zipmcmcsae_0.8.0.zipmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae_0.8.0.tgzmcmcsae archivehbsaehttps://CRAN.R-project.org/package=mcmcsae

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.8.02026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.