pangoling

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / pangoling

pangoling

v1.0.3

pangoling

Repository CRANLicense MIT + file LICENSENeeds compilation no

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.pangoling

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

data.table

Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

1.0.3

License

MIT + file LICENSE

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

2개 소스

CRAN

1.0.3

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 4.1.0)

Imports

cachem, data.table, memoise, reticulate, rstudioapi, stats, tidyselect, tidytable (>= 0.7.2), utils

Suggests

brms, knitr, parallel, rmarkdown, spelling, testthat (>= 3.0.0), tictoc, covr

Needs compilation

Last observed

2026-05-30 10:45:11

R-universe

1.0.3

2026-05-30

Depends

Imports

cachem, data.table, memoise, reticulate, rstudioapi, stats, tidyselect, tidytable, utils

Suggests

brms, knitr, parallel, rmarkdown, spelling, testthat, tictoc, covr

Last observed

2026-05-30 11:26:48

이 패키지가 의존하는 패키지

5개 표시전체 17개

Package	Type	Spec
cachem CRAN · 1.0.3 · 2026-05-30	Imports	cachem
data.table CRAN · 1.0.3 · 2026-05-30	Imports	data.table
memoise CRAN · 1.0.3 · 2026-05-30	Imports	memoise
reticulate CRAN · 1.0.3 · 2026-05-30	Imports	reticulate
rstudioapi CRAN · 1.0.3 · 2026-05-30	Imports	rstudioapi
stats CRAN · 1.0.3 · 2026-05-30	Imports	stats
tidyselect CRAN · 1.0.3 · 2026-05-30	Imports	tidyselect
tidytable CRAN · 1.0.3 · 2026-05-30	Imports	tidytable (>= 0.7.2)
utils CRAN · 1.0.3 · 2026-05-30	Imports	utils
brms CRAN · 1.0.3 · 2026-05-30	Suggests	brms
covr CRAN · 1.0.3 · 2026-05-30	Suggests	covr
knitr CRAN · 1.0.3 · 2026-05-30	Suggests	knitr
parallel CRAN · 1.0.3 · 2026-05-30	Suggests	parallel
rmarkdown CRAN · 1.0.3 · 2026-05-30	Suggests	rmarkdown
spelling CRAN · 1.0.3 · 2026-05-30	Suggests	spelling
testthat CRAN · 1.0.3 · 2026-05-30	Suggests	testthat (>= 3.0.0)
tictoc CRAN · 1.0.3 · 2026-05-30	Suggests	tictoc
검색 결과가 없습니다.

1 / 4

이 패키지를 쓰는 패키지

0개 표시전체 0개

Package	Type	Spec
표시할 dependency edge가 없습니다.
검색 결과가 없습니다.

1 / 1

패키지 페이지

All links

Repository: CRAN
Version: 1.0.3
Collected: 2026-05-30 07:09:55
Package page: https://cran.r-project.org/web/packages/pangoling/index.html
DOI: 10.32614/CRAN.package.pangoling
Citation: https://cran.r-project.org/web/packages/pangoling/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_pangoling.html
NEWS: https://cran.r-project.org/web/packages/pangoling/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/pangoling/refman/pangoling.html
Reference PDF: https://cran.r-project.org/web/packages/pangoling/pangoling.pdf
Source package: https://cran.r-project.org/src/contrib/pangoling_1.0.3.tar.gz

Page fields

Author: Bruno Nicenboim [aut, cre], Chris Emmerly [ctb], Giovanni Cassani [ctb], Lisa Levinson [rev], Utku Turk [rev]
BugReports: https://github.com/ropensci/pangoling/issues
CRAN Checks: pangoling results
Citation: pangoling citation info
DOI: 10.32614/CRAN.package.pangoling
Language: en-US
License: MIT + file LICENSE
Maintainer: Bruno Nicenboim <b.nicenboim at tilburguniversity.edu>
Materials: NEWS
NeedsCompilation: no
Package Source: pangoling_1.0.3.tar.gz
Published: 2025-04-07
Reference Manual: pangoling.html , pangoling.pdf
URL: https://docs.ropensci.org/pangoling/ , https://github.com/ropensci/pangoling
Version: 1.0.3
Vignettes: Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading ( source ) Using a Bert model to get the predictability of words in their context ( source ) Using a GPT2 transformer model to get word predictability ( source ) Troubleshooting the use of Python in R ( source , R code )
Windows Binaries: r-devel: pangoling_1.0.3.zip , r-release: pangoling_1.0.3.zip , r-oldrel: pangoling_1.0.3.zip
MacOS Binaries: r-release (arm64): pangoling_1.0.3.tgz , r-oldrel (arm64): pangoling_1.0.3.tgz , r-release (x86_64): pangoling_1.0.3.tgz , r-oldrel (x86_64): pangoling_1.0.3.tgz

Version

1.0.3

Published

2025-04-07

DOI

10.32614/CRAN.package.pangoling

Author

Bruno Nicenboim [aut, cre], Chris Emmerly [ctb], Giovanni Cassani [ctb], Lisa Levinson [rev], Utku Turk [rev]

https://orcid.org/0000-0002-5176-3943

Maintainer

Bruno Nicenboim <b.nicenboim at tilburguniversity.edu>

BugReports

https://github.com/ropensci/pangoling/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://docs.ropensci.org/pangoling/ , https://github.com/ropensci/pangoling

https://docs.ropensci.org/pangoling/https://github.com/ropensci/pangoling

NeedsCompilation

Language

en-US

Citation

pangoling citation info

Materials

NEWS

CRAN Checks

pangoling results

Reference Manual

pangoling.html , pangoling.pdf

pangoling.html pangoling.pdf

Vignettes

Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading ( source ) Using a Bert model to get the predictability of words in their context ( source ) Using a GPT2 transformer model to get word predictability ( source ) Troubleshooting the use of Python in R ( source , R code )

Worked-out example: Surprisal from a causal (GPT) model as a cognitive processin...source Using a Bert model to get the predictability of words in their context source Using a GPT2 transformer model to get word predictability source Troubleshooting the use of Python in R source R code

Package Source

pangoling_1.0.3.tar.gz

Windows Binaries

r-devel: pangoling_1.0.3.zip , r-release: pangoling_1.0.3.zip , r-oldrel: pangoling_1.0.3.zip

pangoling_1.0.3.zip pangoling_1.0.3.zip pangoling_1.0.3.zip

MacOS Binaries

r-release (arm64): pangoling_1.0.3.tgz , r-oldrel (arm64): pangoling_1.0.3.tgz , r-release (x86_64): pangoling_1.0.3.tgz , r-oldrel (x86_64): pangoling_1.0.3.tgz

pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"pangoling.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/refman/pangoling.html"},{"label":"pangoling.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/pangoling.pdf"},{"label":"Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/example.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/example.Rmd"},{"label":"Using a Bert model to get the predictability of words in their context","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/intro-bert.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/intro-bert.Rmd"},{"label":"Using a GPT2 transformer model to get word predictability","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/intro-gpt2.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/intro-gpt2.Rmd"},{"label":"Troubleshooting the use of Python in R","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/troubleshooting.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/troubleshooting.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/pangoling/vignettes/troubleshooting.R"}]

Text

Reference manual: pangoling.html , pangoling.pdf Vignettes: Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading ( source ) Using a Bert model to get the predictability of words in their context ( source ) Using a GPT2 transformer model to get word predictability ( source ) Troubleshooting the use of Python in R ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"pangoling_1.0.3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/pangoling_1.0.3.tar.gz"},{"label":"pangoling_1.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/pangoling_1.0.3.zip"},{"label":"pangoling_1.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/pangoling_1.0.3.zip"},{"label":"pangoling_1.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/pangoling_1.0.3.zip"},{"label":"pangoling_1.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/pangoling_1.0.3.tgz"},{"label":"pangoling_1.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/pangoling_1.0.3.tgz"},{"label":"pangoling_1.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/pangoling_1.0.3.tgz"},{"label":"pangoling_1.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/pangoling_1.0.3.tgz"}]

Text

Package source: pangoling_1.0.3.tar.gz Windows binaries: r-devel: pangoling_1.0.3.zip , r-release: pangoling_1.0.3.zip , r-oldrel: pangoling_1.0.3.zip macOS binaries: r-release (arm64): pangoling_1.0.3.tgz , r-oldrel (arm64): pangoling_1.0.3.tgz , r-release (x86_64): pangoling_1.0.3.tgz , r-oldrel (x86_64): pangoling_1.0.3.tgz

Linking

Heading

Linking

Links

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

Text

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

Materials 1

NEWS

Documentation 11

pangoling.html pangoling.pdf Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading source Using a Bert model to get the predictability of words in their context source Using a GPT2 transformer model to get word predictability source Troubleshooting the use of Python in R source R code

Vignettes 9

Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading source Using a Bert model to get the predictability of words in their context source Using a GPT2 transformer model to get word predictability source Troubleshooting the use of Python in R source R code

Downloads 8

pangoling_1.0.3.tar.gz pangoling_1.0.3.zip pangoling_1.0.3.zip pangoling_1.0.3.zip pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz

All page links 47

cachem data.table memoise reticulate rstudioapi stats tidyselect tidytable utils brms knitr parallel rmarkdown spelling testthat tictoc covr 10.32614/CRAN.package.pangoling https://orcid.org/0000-0002-5176-3943 https://github.com/ropensci/pangoling/issues MIT LICENSE https://docs.ropensci.org/pangoling/https://github.com/ropensci/pangoling pangoling citation info NEWS pangoling results pangoling.html pangoling.pdf Worked-out example: Surprisal from a causal (GPT) model as a cognitive processing bottleneck in reading source Using a Bert model to get the predictability of words in their context source Using a GPT2 transformer model to get word predictability source Troubleshooting the use of Python in R source R code pangoling_1.0.3.tar.gz pangoling_1.0.3.zip pangoling_1.0.3.zip pangoling_1.0.3.zip pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz pangoling_1.0.3.tgz https://CRAN.R-project.org/package=pangoling

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.0.3		2026-05-29	2026-05-30
R-universe	1.0.3		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.