Hmsc

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / Hmsc

Hmsc

v3.3-7

Hmsc

Repository CRANLicense GPL-3 | file LICENSELifecycle activeNeeds compilation no

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.Hmsc

Task views

Analysis of Ecological and Environmental Data

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Analysis of Ecological and Environmental Data

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

3.3-7

License

GPL-3 | file LICENSE

Lifecycle

active

Needs compilation

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

3.3-7

2026-05-30

License

GPL-3 | file LICENSE

Depends

R (>= 3.0.2), coda

Imports

abind, ape, BayesLogit, fields, FNN, ggplot2, MASS, Matrix, matrixStats, MCMCpack, methods, nnet, rlang, parallel, pracma, pROC, sp, statmod, truncnorm

Suggests

R.rsp, testthat, corrplot

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 23개

Package	Type	Spec
coda CRAN · 3.3-7 · 2026-05-30	Depends	coda
abind CRAN · 3.3-7 · 2026-05-30	Imports	abind
ape CRAN · 3.3-7 · 2026-05-30	Imports	ape
BayesLogit CRAN · 3.3-7 · 2026-05-30	Imports	BayesLogit
fields CRAN · 3.3-7 · 2026-05-30	Imports	fields
FNN CRAN · 3.3-7 · 2026-05-30	Imports	FNN
ggplot2 CRAN · 3.3-7 · 2026-05-30	Imports	ggplot2
MASS CRAN · 3.3-7 · 2026-05-30	Imports	MASS
Matrix CRAN · 3.3-7 · 2026-05-30	Imports	Matrix
matrixStats CRAN · 3.3-7 · 2026-05-30	Imports	matrixStats
MCMCpack CRAN · 3.3-7 · 2026-05-30	Imports	MCMCpack
methods CRAN · 3.3-7 · 2026-05-30	Imports	methods
nnet CRAN · 3.3-7 · 2026-05-30	Imports	nnet
parallel CRAN · 3.3-7 · 2026-05-30	Imports	parallel
pracma CRAN · 3.3-7 · 2026-05-30	Imports	pracma
pROC CRAN · 3.3-7 · 2026-05-30	Imports	pROC
rlang CRAN · 3.3-7 · 2026-05-30	Imports	rlang
sp CRAN · 3.3-7 · 2026-05-30	Imports	sp
statmod CRAN · 3.3-7 · 2026-05-30	Imports	statmod
truncnorm CRAN · 3.3-7 · 2026-05-30	Imports	truncnorm
corrplot CRAN · 3.3-7 · 2026-05-30	Suggests	corrplot
R.rsp CRAN · 3.3-7 · 2026-05-30	Suggests	R.rsp
testthat CRAN · 3.3-7 · 2026-05-30	Suggests	testthat
검색 결과가 없습니다.

1 / 5

이 패키지를 쓰는 패키지

2개 표시전체 2개

Package	Type	Spec
cotram 0.6-0 CRAN · 2026-05-30	Suggests	Hmsc
jSDM 0.2.7 CRAN · 2026-05-30	Suggests	Hmsc
검색 결과가 없습니다.

1 / 1

Reverse dependency summary

1 types

Type	Packages
Suggests	2

패키지 페이지

Reverse suggests

All links

Repository: CRAN
Version: 3.3-7
Collected: 2026-05-26 06:38:02
Package page: https://cran.r-project.org/web/packages/Hmsc/index.html
DOI: 10.32614/CRAN.package.Hmsc
CRAN checks: https://cran.r-project.org/web/checks/check_results_Hmsc.html
README: https://cran.r-project.org/web/packages/Hmsc/readme/README.html
NEWS: https://cran.r-project.org/web/packages/Hmsc/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/Hmsc/refman/Hmsc.html
Reference PDF: https://cran.r-project.org/web/packages/Hmsc/Hmsc.pdf
Source package: https://cran.r-project.org/src/contrib/Hmsc_3.3-7.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/Hmsc

In views

Environmetrics

Page fields

Author: Gleb Tikhonov [aut], Otso Ovaskainen [aut, cre], Jari Oksanen [aut], Melinda de Jonge [aut], Oystein Opedal [aut], Tad Dallas [aut]
BugReports: https://github.com/hmsc-r/HMSC/issues/
CRAN Checks: Hmsc results
DOI: 10.32614/CRAN.package.Hmsc
In Views: Environmetrics
License: GPL-3 | file LICENSE
Maintainer: Otso Ovaskainen <otso.t.ovaskainen at jyu.fi>
Materials: README , NEWS
NeedsCompilation: no
Old Sources: Hmsc archive
Package Source: Hmsc_3.3-7.tar.gz
Published: 2025-08-28
Reference Manual: Hmsc.html , Hmsc.pdf
Reverse Suggests: cotram , jSDM
URL: https://www.helsinki.fi/en/researchgroups/statistical-ecology/software/hmsc
Version: 3.3-7
Vignettes: Getting started with HMSC-R: univariate models ( source ) Getting started with HMSC-R: low-dimensional multivariate models ( source ) Getting started with HMSC-R: high-dimensional multivariate models ( source ) Getting started with HMSC-R: spatial models ( source ) Testing the performance of Hmsc with simulated data ( source )
Windows Binaries: r-devel: Hmsc_3.3-7.zip , r-release: Hmsc_3.3-7.zip , r-oldrel: Hmsc_3.3-7.zip
MacOS Binaries: r-release (arm64): Hmsc_3.3-7.tgz , r-oldrel (arm64): Hmsc_3.3-7.tgz , r-release (x86_64): Hmsc_3.3-7.tgz , r-oldrel (x86_64): Hmsc_3.3-7.tgz

Version

3.3-7

Published

2025-08-28

DOI

10.32614/CRAN.package.Hmsc

Author

Gleb Tikhonov [aut], Otso Ovaskainen [aut, cre], Jari Oksanen [aut], Melinda de Jonge [aut], Oystein Opedal [aut], Tad Dallas [aut]

https://orcid.org/0000-0001-9750-4421

Maintainer

Otso Ovaskainen <otso.t.ovaskainen at jyu.fi>

BugReports

https://github.com/hmsc-r/HMSC/issues/

License

GPL-3 | file LICENSE

GPL-3 LICENSE

URL

https://www.helsinki.fi/en/researchgroups/statistical-ecology/software/hmsc

NeedsCompilation

Materials

README , NEWS

README NEWS

In Views

Environmetrics

CRAN Checks

Hmsc results

Reference Manual

Hmsc.html , Hmsc.pdf

Hmsc.html Hmsc.pdf

Vignettes

Getting started with HMSC-R: univariate models ( source ) Getting started with HMSC-R: low-dimensional multivariate models ( source ) Getting started with HMSC-R: high-dimensional multivariate models ( source ) Getting started with HMSC-R: spatial models ( source ) Testing the performance of Hmsc with simulated data ( source )

Getting started with HMSC-R: univariate models source Getting started with HMSC-R: low-dimensional multivariate models source Getting started with HMSC-R: high-dimensional multivariate models source Getting started with HMSC-R: spatial models source Testing the performance of Hmsc with simulated data source

Package Source

Hmsc_3.3-7.tar.gz

Windows Binaries

r-devel: Hmsc_3.3-7.zip , r-release: Hmsc_3.3-7.zip , r-oldrel: Hmsc_3.3-7.zip

Hmsc_3.3-7.zip Hmsc_3.3-7.zip Hmsc_3.3-7.zip

MacOS Binaries

r-release (arm64): Hmsc_3.3-7.tgz , r-oldrel (arm64): Hmsc_3.3-7.tgz , r-release (x86_64): Hmsc_3.3-7.tgz , r-oldrel (x86_64): Hmsc_3.3-7.tgz

Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz

Old Sources

Hmsc archive

Reverse Suggests

cotram , jSDM

cotram jSDM

Page sections 4

Documentation

Heading

Documentation

Links

[{"label":"Hmsc.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/refman/Hmsc.html"},{"label":"Hmsc.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/Hmsc.pdf"},{"label":"Getting started with HMSC-R: univariate models","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_1_univariate.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_1_univariate.pdf.asis"},{"label":"Getting started with HMSC-R: low-dimensional multivariate models","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_2_multivariate_low.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_2_multivariate_low.pdf.asis"},{"label":"Getting started with HMSC-R: high-dimensional multivariate models","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_3_multivariate_high.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_3_multivariate_high.pdf.asis"},{"label":"Getting started with HMSC-R: spatial models","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_4_spatial.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_4_spatial.pdf.asis"},{"label":"Testing the performance of Hmsc with simulated data","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_5_performance.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/Hmsc/vignettes/vignette_5_performance.pdf.asis"}]

Text

Reference manual: Hmsc.html , Hmsc.pdf Vignettes: Getting started with HMSC-R: univariate models ( source ) Getting started with HMSC-R: low-dimensional multivariate models ( source ) Getting started with HMSC-R: high-dimensional multivariate models ( source ) Getting started with HMSC-R: spatial models ( source ) Testing the performance of Hmsc with simulated data ( source )

Downloads

Heading

Downloads

Links

[{"label":"Hmsc_3.3-7.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/Hmsc_3.3-7.tar.gz"},{"label":"Hmsc_3.3-7.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/Hmsc_3.3-7.zip"},{"label":"Hmsc_3.3-7.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/Hmsc_3.3-7.zip"},{"label":"Hmsc_3.3-7.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/Hmsc_3.3-7.zip"},{"label":"Hmsc_3.3-7.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/Hmsc_3.3-7.tgz"},{"label":"Hmsc_3.3-7.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/Hmsc_3.3-7.tgz"},{"label":"Hmsc_3.3-7.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/Hmsc_3.3-7.tgz"},{"label":"Hmsc_3.3-7.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/Hmsc_3.3-7.tgz"},{"label":"Hmsc archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/Hmsc"}]

Text

Package source: Hmsc_3.3-7.tar.gz Windows binaries: r-devel: Hmsc_3.3-7.zip , r-release: Hmsc_3.3-7.zip , r-oldrel: Hmsc_3.3-7.zip macOS binaries: r-release (arm64): Hmsc_3.3-7.tgz , r-oldrel (arm64): Hmsc_3.3-7.tgz , r-release (x86_64): Hmsc_3.3-7.tgz , r-oldrel (x86_64): Hmsc_3.3-7.tgz Old sources: Hmsc archive

Reverse dependencies

Heading

Reverse dependencies

Links

[{"label":"cotram","section":"","type":"","url":"https://cran.r-project.org/web/packages/cotram/index.html"},{"label":"jSDM","section":"","type":"","url":"https://cran.r-project.org/web/packages/jSDM/index.html"}]

Text

Reverse suggests: cotram , jSDM

Linking

Heading

Linking

Links

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

Text

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

Materials 2

README NEWS

Documentation 12

Hmsc.html Hmsc.pdf Getting started with HMSC-R: univariate models source Getting started with HMSC-R: low-dimensional multivariate models source Getting started with HMSC-R: high-dimensional multivariate models source Getting started with HMSC-R: spatial models source Testing the performance of Hmsc with simulated data source

Vignettes 10

Downloads 9

Hmsc_3.3-7.tar.gz Hmsc_3.3-7.zip Hmsc_3.3-7.zip Hmsc_3.3-7.zip Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc archive

All page links 57

coda abind ape BayesLogit fields FNN ggplot2 MASS Matrix matrixStats MCMCpack methods nnet rlang parallel pracma pROC sp statmod truncnorm R.rsp testthat corrplot 10.32614/CRAN.package.Hmsc https://orcid.org/0000-0001-9750-4421 https://github.com/hmsc-r/HMSC/issues/GPL-3 LICENSE https://www.helsinki.fi/en/researchgroups/statistical-ecology/software/hmsc README NEWS Environmetrics Hmsc results Hmsc.html Hmsc.pdf Getting started with HMSC-R: univariate models source Getting started with HMSC-R: low-dimensional multivariate models source Getting started with HMSC-R: high-dimensional multivariate models source Getting started with HMSC-R: spatial models source Testing the performance of Hmsc with simulated data source Hmsc_3.3-7.tar.gz Hmsc_3.3-7.zip Hmsc_3.3-7.zip Hmsc_3.3-7.zip Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc_3.3-7.tgz Hmsc archive cotram jSDM https://CRAN.R-project.org/package=Hmsc

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	3.3-7		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Analysis of Ecological and Environmental Data · 2026-05-30