ecostats

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ecostats

ecostats

v1.2.2
Repository CRANLicense LGPL (>= 2.1)Lifecycle activeNeeds compilation no
DOI
10.32614/CRAN.package.ecostats

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
1.2.2
License
LGPL (>= 2.1)
Lifecycle
active
Needs compilation
no
Last observed
2026-05-30
CRAN
cran.r-project.org/package=ecostats

수집 소스별 패키지 정보

1개 소스
CRAN
1.2.2
2026-05-30
License
LGPL (>= 2.1)
Depends
R (>= 3.5.0), mvabund (>= 4.2)
Imports
ecoCopula, GET, graphics, grDevices, MASS, methods, mgcv, mvtnorm, parallel, stats
Suggests
knitr, rmarkdown, ade4, caper, car, corrplot, DAAG, DHARMa, dplyr, gclus, GGally, ggplot2, ggthemes, glmnet, gllvm, glmmTMB, GPArotation, grplasso, lattice, leaps, lme4, MCMCglmm, multcomp, nlme, ordinal, permute, pgirmess, phylobase, phylosignal, psych, reshape2, smatr, testthat, vegan, VGAM, covr
Needs compilation
no
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 47개
PackageTypeSpec
mvabund
CRAN · 1.2.2 · 2026-05-30
Dependsmvabund (>= 4.2)
ecoCopula
CRAN · 1.2.2 · 2026-05-30
ImportsecoCopula
GET
CRAN · 1.2.2 · 2026-05-30
ImportsGET
graphics
CRAN · 1.2.2 · 2026-05-30
Importsgraphics
grDevices
CRAN · 1.2.2 · 2026-05-30
ImportsgrDevices
1 / 10

이 패키지를 쓰는 패키지

1개 표시전체 1개
PackageTypeSpec
mvabund
4.2.8
CRAN · 2026-05-30
Suggestsecostats
1 / 1

Reverse dependency summary

1 types
TypePackages
Suggests1

패키지 페이지

Reverse suggests
2
All links
92
Repository
CRAN
Version
1.2.2
Collected
2026-05-23 19:06:53
Package page
https://cran.r-project.org/web/packages/ecostats/index.html
DOI
10.32614/CRAN.package.ecostats
CRAN checks
https://cran.r-project.org/web/checks/check_results_ecostats.html
README
https://cran.r-project.org/web/packages/ecostats/readme/README.html
Reference HTML
https://cran.r-project.org/web/packages/ecostats/refman/ecostats.html
Reference PDF
https://cran.r-project.org/web/packages/ecostats/ecostats.pdf
Source package
https://cran.r-project.org/src/contrib/ecostats_1.2.2.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/ecostats
Page fields
Author
David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
CRAN Checks
ecostats results
DOI
10.32614/CRAN.package.ecostats
License
LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
Maintainer
David Warton <david.warton at unsw.edu.au>
Materials
README
NeedsCompilation
no
Old Sources
ecostats archive
Package Source
ecostats_1.2.2.tar.gz
Published
2025-06-06
Reference Manual
ecostats.html , ecostats.pdf
Reverse Suggests
mvabund
URL
https://dwarton.github.io/ecostats/
Version
1.2.2
Vignettes
Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes ( source ) Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes ( source ) Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes ( source ) Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes ( source , R code ) Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes ( source ) Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes ( source ) Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes ( source ) Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes ( source , R code ) Chapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxes ( source , R code ) Chapter 2 – An importance equivalence result – Exercise solutions and Code Boxes ( source , R code ) Chapter 3 – Regression with multiple predictor variables – Exercise solutions and Code Boxes ( source ) Chapter 4 – Linear models – anything goes – Exercise solutions and Code Boxes ( source ) Chapter 5 – Model selection – Exercise solutions and Code Boxes ( source ) Chapter 6 – Mixed effect models – Exercise solutions and Code Boxes ( source , R code ) Chapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code Boxes ( source ) Chapter 8 – Wiggly Models – Exercise solutions and Code Boxes ( source , R code ) Chapter 9 – Design-based inference – Exercise solutions and Code Boxes ( source ) Eco-Stats – Code and Data Accompanying the Eco-Stats Text ( source , R code )
Windows Binaries
r-devel: ecostats_1.2.2.zip , r-release: ecostats_1.2.2.zip , r-oldrel: ecostats_1.2.2.zip
MacOS Binaries
r-release (arm64): ecostats_1.2.2.tgz , r-oldrel (arm64): ecostats_1.2.2.tgz , r-release (x86_64): ecostats_1.2.2.tgz , r-oldrel (x86_64): ecostats_1.2.2.tgz
Version
1.2.2
Published
2025-06-06
DOI
10.32614/CRAN.package.ecostats
Author
David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
Maintainer
David Warton <david.warton at unsw.edu.au>
License
LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL
https://dwarton.github.io/ecostats/
NeedsCompilation
no
Materials
README
CRAN Checks
ecostats results
Reference Manual
ecostats.html , ecostats.pdf
Vignettes
Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes ( source ) Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes ( source ) Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes ( source ) Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes ( source , R code ) Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes ( source ) Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes ( source ) Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes ( source ) Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes ( source , R code ) Chapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxes ( source , R code ) Chapter 2 – An importance equivalence result – Exercise solutions and Code Boxes ( source , R code ) Chapter 3 – Regression with multiple predictor variables – Exercise solutions and Code Boxes ( source ) Chapter 4 – Linear models – anything goes – Exercise solutions and Code Boxes ( source ) Chapter 5 – Model selection – Exercise solutions and Code Boxes ( source ) Chapter 6 – Mixed effect models – Exercise solutions and Code Boxes ( source , R code ) Chapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code Boxes ( source ) Chapter 8 – Wiggly Models – Exercise solutions and Code Boxes ( source , R code ) Chapter 9 – Design-based inference – Exercise solutions and Code Boxes ( source ) Eco-Stats – Code and Data Accompanying the Eco-Stats Text ( source , R code )
Package Source
ecostats_1.2.2.tar.gz
Windows Binaries
r-devel: ecostats_1.2.2.zip , r-release: ecostats_1.2.2.zip , r-oldrel: ecostats_1.2.2.zip
MacOS Binaries
r-release (arm64): ecostats_1.2.2.tgz , r-oldrel (arm64): ecostats_1.2.2.tgz , r-release (x86_64): ecostats_1.2.2.tgz , r-oldrel (x86_64): ecostats_1.2.2.tgz
Old Sources
ecostats archive
Reverse Suggests
mvabund
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"ecostats.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/refman/ecostats.html"},{"label":"ecostats.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/ecostats.pdf"},{"label":"Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter10Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter10Solutions.Rmd"},{"label":"Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter11Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter11Solutions.Rmd"},{"label":"Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter12Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter12Solutions.Rmd"},{"label":"Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter13Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter13Solutions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter13Solutions.R"},{"label":"Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter14Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter14Solutions.Rmd"},{"label":"Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter15Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter15Solutions.Rmd"},{"label":"Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter16Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter16Solutions.Rmd"},{"label":"Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter17Solutions.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter17Solutions.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecostats/vignettes/Chapter17Solutions.R"}]
Text
Reference manual: ecostats.html , ecostats.pdf Vignettes: Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes ( source ) Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes ( source ) Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes ( source ) Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes ( source , R code ) Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes ( source ) Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes ( source ) Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes ( source ) Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes ( source , R code ) Chapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxes ( source , R code ) Chapter 2 – An importance equivalence result – Exercise solutions and Code Boxes ( source , R code ) Chapter 3 – Regression with multiple predictor variables – Exercise solutions and Code Boxes ( source ) Chapter 4 – Linear models – anything goes – Exercise solutions and Code Boxes ( source ) Chapter 5 – Model selection – Exercise solutions and Code Boxes ( source ) Chapter 6 – Mixed effect models – Exercise solutions and Code Boxes ( source , R code ) Chapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code Boxes ( source ) Chapter 8 – Wiggly Models – Exercise solutions and Code Boxes ( source , R code ) Chapter 9 – Design-based inference – Exercise solutions and Code Boxes ( source ) Eco-Stats – Code and Data Accompanying the Eco-Stats Text ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"ecostats_1.2.2.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ecostats_1.2.2.tar.gz"},{"label":"ecostats_1.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ecostats_1.2.2.zip"},{"label":"ecostats_1.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ecostats_1.2.2.zip"},{"label":"ecostats_1.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ecostats_1.2.2.zip"},{"label":"ecostats_1.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ecostats_1.2.2.tgz"},{"label":"ecostats_1.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ecostats_1.2.2.tgz"},{"label":"ecostats_1.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ecostats_1.2.2.tgz"},{"label":"ecostats_1.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ecostats_1.2.2.tgz"},{"label":"ecostats archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/ecostats"}]
Text
Package source: ecostats_1.2.2.tar.gz Windows binaries: r-devel: ecostats_1.2.2.zip , r-release: ecostats_1.2.2.zip , r-oldrel: ecostats_1.2.2.zip macOS binaries: r-release (arm64): ecostats_1.2.2.tgz , r-oldrel (arm64): ecostats_1.2.2.tgz , r-release (x86_64): ecostats_1.2.2.tgz , r-oldrel (x86_64): ecostats_1.2.2.tgz Old sources: ecostats archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"mvabund","section":"","type":"","url":"https://cran.r-project.org/web/packages/mvabund/index.html"}]
Text
Reverse suggests: mvabund
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=ecostats","section":"","type":"","url":"https://CRAN.R-project.org/package=ecostats"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=ecostats to link to this page.
Materials 1
Documentation 45
ecostats.htmlecostats.pdfChapter 10 – Analysing discrete data – Exercise solutions and Code BoxessourceChapter 11 – Multivariate analysis – Exercise solutions and Code BoxessourceChapter 12 – Visualising many responses – Exercise solutions and Code BoxessourceChapter 13 – Allometric line-fitting – Exercise solutions and Code BoxessourceR codeChapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code BoxessourceChapter 15 – Predicting multivariate abundances – Exercise solutions and Code BoxessourceChapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code BoxessourceChapter 17 – Studying co-occurrence patterns – Exercise solutions and Code BoxessourceR codeChapter 1 – 'STATS 101' Revision – Exercise solutions and Code BoxessourceR codeChapter 2 – An importance equivalence result – Exercise solutions and Code BoxessourceR codeChapter 3 – Regression with multiple predictor variables – Exercise solutions and Code BoxessourceChapter 4 – Linear models – anything goes – Exercise solutions and Code BoxessourceChapter 5 – Model selection – Exercise solutions and Code BoxessourceChapter 6 – Mixed effect models – Exercise solutions and Code BoxessourceR codeChapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code BoxessourceChapter 8 – Wiggly Models – Exercise solutions and Code BoxessourceR codeChapter 9 – Design-based inference – Exercise solutions and Code BoxessourceEco-Stats – Code and Data Accompanying the Eco-Stats TextsourceR code
Vignettes 43
Chapter 10 – Analysing discrete data – Exercise solutions and Code BoxessourceChapter 11 – Multivariate analysis – Exercise solutions and Code BoxessourceChapter 12 – Visualising many responses – Exercise solutions and Code BoxessourceChapter 13 – Allometric line-fitting – Exercise solutions and Code BoxessourceR codeChapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code BoxessourceChapter 15 – Predicting multivariate abundances – Exercise solutions and Code BoxessourceChapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code BoxessourceChapter 17 – Studying co-occurrence patterns – Exercise solutions and Code BoxessourceR codeChapter 1 – 'STATS 101' Revision – Exercise solutions and Code BoxessourceR codeChapter 2 – An importance equivalence result – Exercise solutions and Code BoxessourceR codeChapter 3 – Regression with multiple predictor variables – Exercise solutions and Code BoxessourceChapter 4 – Linear models – anything goes – Exercise solutions and Code BoxessourceChapter 5 – Model selection – Exercise solutions and Code BoxessourceChapter 6 – Mixed effect models – Exercise solutions and Code BoxessourceR codeChapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code BoxessourceChapter 8 – Wiggly Models – Exercise solutions and Code BoxessourceR codeChapter 9 – Design-based inference – Exercise solutions and Code BoxessourceEco-Stats – Code and Data Accompanying the Eco-Stats TextsourceR code
Downloads 9
All page links 92
mvabundecoCopulaGETgraphicsgrDevicesMASSmethodsmgcvmvtnormparallelstatsknitrrmarkdownade4capercarcorrplotDAAGDHARMadplyrgclusGGallyggplot2ggthemesglmnetgllvmglmmTMBGPArotationgrplassolatticeleaps10.32614/CRAN.package.ecostatsLGPL-2.1LGPL-3https://dwarton.github.io/ecostats/READMEecostats resultsecostats.htmlecostats.pdfChapter 10 – Analysing discrete data – Exercise solutions and Code BoxessourceChapter 11 – Multivariate analysis – Exercise solutions and Code BoxessourceChapter 12 – Visualising many responses – Exercise solutions and Code BoxessourceChapter 13 – Allometric line-fitting – Exercise solutions and Code BoxessourceR codeChapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code BoxessourceChapter 15 – Predicting multivariate abundances – Exercise solutions and Code BoxessourceChapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code BoxessourceChapter 17 – Studying co-occurrence patterns – Exercise solutions and Code BoxessourceR codeChapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxessourceecostats_1.2.2.tar.gzecostats_1.2.2.zipecostats_1.2.2.zipecostats_1.2.2.zipecostats_1.2.2.tgzecostats_1.2.2.tgzecostats_1.2.2.tgzecostats_1.2.2.tgzecostats archiveR codeChapter 2 – An importance equivalence result – Exercise solutions and Code BoxessourceR codeChapter 3 – Regression with multiple predictor variables – Exercise solutions and Code BoxessourceChapter 4 – Linear models – anything goes – Exercise solutions and Code BoxessourceChapter 5 – Model selection – Exercise solutions and Code BoxessourceChapter 6 – Mixed effect models – Exercise solutions and Code BoxessourceR codeChapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code BoxessourceChapter 8 – Wiggly Models – Exercise solutions and Code BoxessourceR codeChapter 9 – Design-based inference – Exercise solutions and Code BoxessourceEco-Stats – Code and Data Accompanying the Eco-Stats TextsourceR codehttps://CRAN.R-project.org/package=ecostats

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.2.22026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.