ggsmc

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ggsmc

ggsmc

v0.2.0

ggsmc

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.ggsmc

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.2.0

License

MIT + file LICENSE

Lifecycle

active

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

0.2.0

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 3.50)

Imports

poorman, ggplot2, gganimate

Suggests

knitr, rmarkdown, testthat

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 6개

Package	Type	Spec
gganimate CRAN · 0.2.0 · 2026-05-30	Imports	gganimate
ggplot2 CRAN · 0.2.0 · 2026-05-30	Imports	ggplot2
poorman CRAN · 0.2.0 · 2026-05-30	Imports	poorman
knitr CRAN · 0.2.0 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 0.2.0 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 0.2.0 · 2026-05-30	Suggests	testthat
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1 / 2

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0개 표시전체 0개

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패키지 페이지

All links

Repository: CRAN
Version: 0.2.0
Collected: 2026-05-25 11:39:05
Package page: https://cran.r-project.org/web/packages/ggsmc/index.html
DOI: 10.32614/CRAN.package.ggsmc
CRAN checks: https://cran.r-project.org/web/checks/check_results_ggsmc.html
README: https://cran.r-project.org/web/packages/ggsmc/readme/README.html
NEWS: https://cran.r-project.org/web/packages/ggsmc/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/ggsmc/refman/ggsmc.html
Reference PDF: https://cran.r-project.org/web/packages/ggsmc/ggsmc.pdf
Source package: https://cran.r-project.org/src/contrib/ggsmc_0.2.0.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/ggsmc

Page fields

Author: Richard G Everitt [aut, cre]
BugReports: https://github.com/richardgeveritt/ggsmc/issues
CRAN Checks: ggsmc results
DOI: 10.32614/CRAN.package.ggsmc
License: MIT + file LICENSE
Maintainer: Richard G Everitt <richard.g.everitt at gmail.com>
Materials: README , NEWS
NeedsCompilation: no
Old Sources: ggsmc archive
Package Source: ggsmc_0.2.0.tar.gz
Published: 2025-11-13
Reference Manual: ggsmc.html , ggsmc.pdf
URL: https://github.com/richardgeveritt/ggsmc , https://richardgeveritt.github.io/ggsmc/
Version: 0.2.0
Vignettes: Visualising the output of Monte Carlo methods with ggsmc ( source , R code )
Windows Binaries: r-devel: ggsmc_0.2.0.zip , r-release: ggsmc_0.2.0.zip , r-oldrel: ggsmc_0.2.0.zip
MacOS Binaries: r-release (arm64): ggsmc_0.2.0.tgz , r-oldrel (arm64): ggsmc_0.2.0.tgz , r-release (x86_64): ggsmc_0.2.0.tgz , r-oldrel (x86_64): ggsmc_0.2.0.tgz

Version

0.2.0

Published

2025-11-13

DOI

10.32614/CRAN.package.ggsmc

Author

Richard G Everitt [aut, cre]

https://orcid.org/0000-0002-0822-5648

Maintainer

Richard G Everitt <richard.g.everitt at gmail.com>

BugReports

https://github.com/richardgeveritt/ggsmc/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://github.com/richardgeveritt/ggsmc , https://richardgeveritt.github.io/ggsmc/

https://github.com/richardgeveritt/ggsmc https://richardgeveritt.github.io/ggsmc/

NeedsCompilation

Materials

README , NEWS

README NEWS

CRAN Checks

ggsmc results

Reference Manual

ggsmc.html , ggsmc.pdf

ggsmc.html ggsmc.pdf

Vignettes

Visualising the output of Monte Carlo methods with ggsmc ( source , R code )

Visualising the output of Monte Carlo methods with ggsmc source R code

Package Source

ggsmc_0.2.0.tar.gz

Windows Binaries

r-devel: ggsmc_0.2.0.zip , r-release: ggsmc_0.2.0.zip , r-oldrel: ggsmc_0.2.0.zip

ggsmc_0.2.0.zip ggsmc_0.2.0.zip ggsmc_0.2.0.zip

MacOS Binaries

r-release (arm64): ggsmc_0.2.0.tgz , r-oldrel (arm64): ggsmc_0.2.0.tgz , r-release (x86_64): ggsmc_0.2.0.tgz , r-oldrel (x86_64): ggsmc_0.2.0.tgz

ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz

Old Sources

ggsmc archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"ggsmc.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggsmc/refman/ggsmc.html"},{"label":"ggsmc.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggsmc/ggsmc.pdf"},{"label":"Visualising the output of Monte Carlo methods with ggsmc","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggsmc/vignettes/Visualising.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggsmc/vignettes/Visualising.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggsmc/vignettes/Visualising.R"}]

Text

Reference manual: ggsmc.html , ggsmc.pdf Vignettes: Visualising the output of Monte Carlo methods with ggsmc ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"ggsmc_0.2.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ggsmc_0.2.0.tar.gz"},{"label":"ggsmc_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ggsmc_0.2.0.zip"},{"label":"ggsmc_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ggsmc_0.2.0.zip"},{"label":"ggsmc_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ggsmc_0.2.0.zip"},{"label":"ggsmc_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ggsmc_0.2.0.tgz"},{"label":"ggsmc_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ggsmc_0.2.0.tgz"},{"label":"ggsmc_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ggsmc_0.2.0.tgz"},{"label":"ggsmc_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ggsmc_0.2.0.tgz"},{"label":"ggsmc archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/ggsmc"}]

Text

Package source: ggsmc_0.2.0.tar.gz Windows binaries: r-devel: ggsmc_0.2.0.zip , r-release: ggsmc_0.2.0.zip , r-oldrel: ggsmc_0.2.0.zip macOS binaries: r-release (arm64): ggsmc_0.2.0.tgz , r-oldrel (arm64): ggsmc_0.2.0.tgz , r-release (x86_64): ggsmc_0.2.0.tgz , r-oldrel (x86_64): ggsmc_0.2.0.tgz Old sources: ggsmc archive

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=ggsmc","section":"","type":"","url":"https://CRAN.R-project.org/package=ggsmc"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=ggsmc to link to this page.

Materials 2

README NEWS

Documentation 5

ggsmc.html ggsmc.pdf Visualising the output of Monte Carlo methods with ggsmc source R code

Vignettes 3

Visualising the output of Monte Carlo methods with ggsmc source R code

Downloads 9

ggsmc_0.2.0.tar.gz ggsmc_0.2.0.zip ggsmc_0.2.0.zip ggsmc_0.2.0.zip ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz ggsmc_0.2.0.tgz ggsmc archive

All page links 31

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.2.0		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.