lame

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / lame

lame

v1.3.4

lame

Repository CRANLicense MIT + file LICENSENeeds compilation yes

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.lame

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

1.3.4

License

MIT + file LICENSE

Needs compilation

yes

Last observed

2026-08-05

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

Build fields

LinkingTo

RcppRcppArmadillo

수집 소스별 패키지 정보

1개 소스

CRAN

1.3.4

2026-08-05

License

MIT + file LICENSE

Depends

R (>= 3.5.0)

Imports

Rcpp, ggplot2, ggrepel, ggforce, gridExtra, coda, patchwork, cli, MASS, Matrix, abind, netify (>= 1.5.3), graphics, grDevices, parallel, stats, utils

Suggests

knitr, rmarkdown, testthat (>= 3.0.0), igraph, network, posterior, loo, digest, tibble, broom, generics, pROC, precrec, statmod, dplyr, modelsummary, callr, amen

LinkingTo

Rcpp, RcppArmadillo

Needs compilation

yes

Last observed

2026-08-05 02:25:34

이 패키지가 의존하는 패키지

5개 표시전체 37개

Package	Type	Spec
abind CRAN · 1.3.4 · 2026-09-19	Imports	abind
cli CRAN · 1.3.4 · 2026-09-19	Imports	cli
coda CRAN · 1.3.4 · 2026-09-19	Imports	coda
ggforce CRAN · 1.3.4 · 2026-09-19	Imports	ggforce
ggplot2 CRAN · 1.3.4 · 2026-09-19	Imports	ggplot2
ggrepel CRAN · 1.3.4 · 2026-09-19	Imports	ggrepel
graphics CRAN · 1.3.4 · 2026-09-19	Imports	graphics
grDevices CRAN · 1.3.4 · 2026-09-19	Imports	grDevices
gridExtra CRAN · 1.3.4 · 2026-09-19	Imports	gridExtra
MASS CRAN · 1.3.4 · 2026-09-19	Imports	MASS
Matrix CRAN · 1.3.4 · 2026-09-19	Imports	Matrix
netify CRAN · 1.3.4 · 2026-09-19	Imports	netify (>= 1.5.3)
parallel CRAN · 1.3.4 · 2026-09-19	Imports	parallel
patchwork CRAN · 1.3.4 · 2026-09-19	Imports	patchwork
Rcpp CRAN · 1.3.4 · 2026-09-19	Imports	Rcpp
stats CRAN · 1.3.4 · 2026-09-19	Imports	stats
utils CRAN · 1.3.4 · 2026-09-19	Imports	utils
Rcpp CRAN · 1.3.4 · 2026-09-19	LinkingTo	Rcpp
RcppArmadillo CRAN · 1.3.4 · 2026-09-19	LinkingTo	RcppArmadillo
amen CRAN · 1.3.4 · 2026-09-19	Suggests	amen
broom CRAN · 1.3.4 · 2026-09-19	Suggests	broom
callr CRAN · 1.3.4 · 2026-09-19	Suggests	callr
digest CRAN · 1.3.4 · 2026-09-19	Suggests	digest
dplyr CRAN · 1.3.4 · 2026-09-19	Suggests	dplyr
generics CRAN · 1.3.4 · 2026-09-19	Suggests	generics
igraph CRAN · 1.3.4 · 2026-09-19	Suggests	igraph
knitr CRAN · 1.3.4 · 2026-09-19	Suggests	knitr
loo CRAN · 1.3.4 · 2026-09-19	Suggests	loo
modelsummary CRAN · 1.3.4 · 2026-09-19	Suggests	modelsummary
network CRAN · 1.3.4 · 2026-09-19	Suggests	network
posterior CRAN · 1.3.4 · 2026-09-19	Suggests	posterior
precrec CRAN · 1.3.4 · 2026-09-19	Suggests	precrec
pROC CRAN · 1.3.4 · 2026-09-19	Suggests	pROC
rmarkdown CRAN · 1.3.4 · 2026-09-19	Suggests	rmarkdown
statmod CRAN · 1.3.4 · 2026-09-19	Suggests	statmod
testthat CRAN · 1.3.4 · 2026-09-19	Suggests	testthat (>= 3.0.0)
tibble CRAN · 1.3.4 · 2026-09-19	Suggests	tibble
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0개 표시전체 0개

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패키지 페이지

All links

Repository: CRAN
Version: 1.3.4
Collected: 2026-09-05 04:53:06
Package page: https://cran.r-project.org/web/packages/lame/index.html
DOI: 10.32614/CRAN.package.lame
Citation: https://cran.r-project.org/web/packages/lame/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_lame.html
NEWS: https://cran.r-project.org/web/packages/lame/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/lame/refman/lame.html
Reference PDF: https://cran.r-project.org/web/packages/lame/lame.pdf
Source package: https://cran.r-project.org/src/contrib/lame_1.3.4.tar.gz

Page fields

Author: Cassy Dorff [aut], Shahryar Minhas [aut, cre], Tosin Salau [aut]
BugReports: https://github.com/netify-dev/lame/issues
CRAN Checks: lame results
Citation: lame citation info
DOI: 10.32614/CRAN.package.lame
License: MIT + file LICENSE
LinkingTo: Rcpp , RcppArmadillo
Maintainer: Shahryar Minhas <minhassh at msu.edu>
Materials: NEWS
NeedsCompilation: yes
Package Source: lame_1.3.4.tar.gz
Published: 2026-08-04
Reference Manual: lame.html , lame.pdf
URL: https://netify-dev.github.io/lame/ , https://github.com/netify-dev/lame
Version: 1.3.4
Vignettes: Bipartite Network Analysis ( source , R code ) Your First AME Model ( source , R code ) Dynamic Effects in Longitudinal AME Models ( source , R code ) Fast (MCMC-free) AME Estimation ( source , R code ) Forecasting Longitudinal Networks with lame ( source , R code ) lame Overview ( source , R code ) Getting Started with lame ( source , R code )
Windows Binaries: r-devel: lame_1.3.4.zip , r-release: lame_1.3.4.zip , r-oldrel: lame_1.3.4.zip
MacOS Binaries: r-release (arm64): lame_1.3.4.tgz , r-oldrel (arm64): lame_1.3.4.tgz , r-release (x86_64): lame_1.3.4.tgz , r-oldrel (x86_64): lame_1.3.4.tgz

Version

1.3.4

LinkingTo

Rcpp , RcppArmadillo

Rcpp RcppArmadillo

Published

2026-08-04

DOI

10.32614/CRAN.package.lame

Author

Cassy Dorff [aut], Shahryar Minhas [aut, cre], Tosin Salau [aut]

Maintainer

Shahryar Minhas <minhassh at msu.edu>

BugReports

https://github.com/netify-dev/lame/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://netify-dev.github.io/lame/ , https://github.com/netify-dev/lame

https://netify-dev.github.io/lame/https://github.com/netify-dev/lame

NeedsCompilation

yes

Citation

lame citation info

Materials

NEWS

CRAN Checks

lame results

Reference Manual

lame.html , lame.pdf

lame.html lame.pdf

Vignettes

Bipartite Network Analysis ( source , R code ) Your First AME Model ( source , R code ) Dynamic Effects in Longitudinal AME Models ( source , R code ) Fast (MCMC-free) AME Estimation ( source , R code ) Forecasting Longitudinal Networks with lame ( source , R code ) lame Overview ( source , R code ) Getting Started with lame ( source , R code )

Package Source

lame_1.3.4.tar.gz

Windows Binaries

r-devel: lame_1.3.4.zip , r-release: lame_1.3.4.zip , r-oldrel: lame_1.3.4.zip

lame_1.3.4.zip lame_1.3.4.zip lame_1.3.4.zip

MacOS Binaries

r-release (arm64): lame_1.3.4.tgz , r-oldrel (arm64): lame_1.3.4.tgz , r-release (x86_64): lame_1.3.4.tgz , r-oldrel (x86_64): lame_1.3.4.tgz

lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"lame.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/refman/lame.html"},{"label":"lame.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/lame.pdf"},{"label":"Bipartite Network Analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/bipartite.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/bipartite.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/bipartite.R"},{"label":"Your First AME Model","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/cross_sec_ame.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/cross_sec_ame.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/cross_sec_ame.R"},{"label":"Dynamic Effects in Longitudinal AME Models","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/dynamic_effects.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/dynamic_effects.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/dynamic_effects.R"},{"label":"Fast (MCMC-free) AME Estimation","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/fast_estimation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/fast_estimation.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/fast_estimation.R"},{"label":"Forecasting Longitudinal Networks with lame","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/forecasting.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/forecasting.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/forecasting.R"},{"label":"lame Overview","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/lame-overview.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/lame-overview.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lame/vignettes/lame-overview.R"}]

Text

Reference manual: lame.html , lame.pdf Vignettes: Bipartite Network Analysis ( source , R code ) Your First AME Model ( source , R code ) Dynamic Effects in Longitudinal AME Models ( source , R code ) Fast (MCMC-free) AME Estimation ( source , R code ) Forecasting Longitudinal Networks with lame ( source , R code ) lame Overview ( source , R code ) Getting Started with lame ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"lame_1.3.4.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/lame_1.3.4.tar.gz"},{"label":"lame_1.3.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/lame_1.3.4.zip"},{"label":"lame_1.3.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/lame_1.3.4.zip"},{"label":"lame_1.3.4.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/lame_1.3.4.zip"},{"label":"lame_1.3.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/lame_1.3.4.tgz"},{"label":"lame_1.3.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/lame_1.3.4.tgz"},{"label":"lame_1.3.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/lame_1.3.4.tgz"},{"label":"lame_1.3.4.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/lame_1.3.4.tgz"}]

Text

Package source: lame_1.3.4.tar.gz Windows binaries: r-devel: lame_1.3.4.zip , r-release: lame_1.3.4.zip , r-oldrel: lame_1.3.4.zip macOS binaries: r-release (arm64): lame_1.3.4.tgz , r-oldrel (arm64): lame_1.3.4.tgz , r-release (x86_64): lame_1.3.4.tgz , r-oldrel (x86_64): lame_1.3.4.tgz

Linking

Heading

Linking

Links

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

Text

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

Materials 1

NEWS

Documentation 23

Vignettes 21

Downloads 8

lame_1.3.4.tar.gz lame_1.3.4.zip lame_1.3.4.zip lame_1.3.4.zip lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz

All page links 77

Rcpp ggplot2 ggrepel ggforce gridExtra coda patchwork cli MASS Matrix abind netify graphics grDevices parallel stats utils RcppArmadillo knitr rmarkdown testthat igraph network posterior loo digest tibble broom generics pROC precrec statmod dplyr modelsummary callr amen 10.32614/CRAN.package.lame https://github.com/netify-dev/lame/issues MIT LICENSE https://netify-dev.github.io/lame/https://github.com/netify-dev/lame lame citation info NEWS lame results lame.html lame.pdf Bipartite Network Analysis source R code Your First AME Model source R code Dynamic Effects in Longitudinal AME Models source R code Fast (MCMC-free) AME Estimation source R code Forecasting Longitudinal Networks with lame source R code lame Overview source R code Getting Started with lame source lame_1.3.4.tar.gz lame_1.3.4.zip lame_1.3.4.zip lame_1.3.4.zip lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz lame_1.3.4.tgz R code https://CRAN.R-project.org/package=lame

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	1.3.4		2026-08-05	2026-08-05

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.