lslx

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / lslx

lslx

v0.6.11

lslx

Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes

Package page Reference Source DOI

DOI

10.32614/CRAN.package.lslx

Task views

Psychometric Models and Methods

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Psychometric Models and Methods

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.6.11

License

GPL-3

Lifecycle

active

Needs compilation

yes

Last observed

2026-05-30

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

Build fields

LinkingTo

RcppRcppEigen

수집 소스별 패키지 정보

1개 소스

CRAN

0.6.11

2026-05-30

License

GPL-3

Depends

R (>= 3.5.0)

Imports

stats, Rcpp, R6, ggplot2

Suggests

knitr, rmarkdown, lavaan

LinkingTo

Rcpp, RcppEigen

Needs compilation

yes

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 9개

Package	Type	Spec
ggplot2 CRAN · 0.6.11 · 2026-05-30	Imports	ggplot2
R6 CRAN · 0.6.11 · 2026-05-30	Imports	R6
Rcpp CRAN · 0.6.11 · 2026-05-30	Imports	Rcpp
stats CRAN · 0.6.11 · 2026-05-30	Imports	stats
Rcpp CRAN · 0.6.11 · 2026-05-30	LinkingTo	Rcpp
RcppEigen CRAN · 0.6.11 · 2026-05-30	LinkingTo	RcppEigen
knitr CRAN · 0.6.11 · 2026-05-30	Suggests	knitr
lavaan CRAN · 0.6.11 · 2026-05-30	Suggests	lavaan
rmarkdown CRAN · 0.6.11 · 2026-05-30	Suggests	rmarkdown
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패키지 페이지

All links

Repository: CRAN
Version: 0.6.11
Collected: 2026-05-28 00:25:20
Package page: https://cran.r-project.org/web/packages/lslx/index.html
DOI: 10.32614/CRAN.package.lslx
Citation: https://cran.r-project.org/web/packages/lslx/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_lslx.html
Reference HTML: https://cran.r-project.org/web/packages/lslx/refman/lslx.html
Reference PDF: https://cran.r-project.org/web/packages/lslx/lslx.pdf
Source package: https://cran.r-project.org/src/contrib/lslx_0.6.11.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/lslx

In views

Psychometrics

Page fields

Author: Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]
BugReports: https://github.com/psyphh/lslx/issues
CRAN Checks: lslx results
Citation: lslx citation info
DOI: 10.32614/CRAN.package.lslx
In Views: Psychometrics
License: GPL-3
LinkingTo: Rcpp , RcppEigen
Maintainer: Po-Hsien Huang <psyphh at gmail.com>
NeedsCompilation: yes
Old Sources: lslx archive
Package Source: lslx_0.6.11.tar.gz
Published: 2022-12-02
Reference Manual: lslx.html , lslx.pdf
URL: https://github.com/psyphh/lslx/wiki
Version: 0.6.11
Vignettes: Semi-Confirmatory Factor Analysis ( source , R code ) Factor Analysis with Missing Data ( source , R code ) Multi-Group Factor Analysis ( source , R code ) Regression Analysis with Lasso Penalty ( source , R code ) Semi-Confirmatory Structural Equation Modeling ( source , R code )
Windows Binaries: r-devel: lslx_0.6.11.zip , r-release: lslx_0.6.11.zip , r-oldrel: lslx_0.6.11.zip
MacOS Binaries: r-release (arm64): lslx_0.6.11.tgz , r-oldrel (arm64): lslx_0.6.11.tgz , r-release (x86_64): lslx_0.6.11.tgz , r-oldrel (x86_64): lslx_0.6.11.tgz

Version

0.6.11

LinkingTo

Rcpp , RcppEigen

Rcpp RcppEigen

Published

2022-12-02

DOI

10.32614/CRAN.package.lslx

Author

Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]

Maintainer

Po-Hsien Huang <psyphh at gmail.com>

BugReports

https://github.com/psyphh/lslx/issues

License

GPL-3

URL

https://github.com/psyphh/lslx/wiki

NeedsCompilation

yes

Citation

lslx citation info

In Views

Psychometrics

CRAN Checks

lslx results

Reference Manual

lslx.html , lslx.pdf

lslx.html lslx.pdf

Vignettes

Semi-Confirmatory Factor Analysis ( source , R code ) Factor Analysis with Missing Data ( source , R code ) Multi-Group Factor Analysis ( source , R code ) Regression Analysis with Lasso Penalty ( source , R code ) Semi-Confirmatory Structural Equation Modeling ( source , R code )

Semi-Confirmatory Factor Analysis source R code Factor Analysis with Missing Data source R code Multi-Group Factor Analysis source R code Regression Analysis with Lasso Penalty source R code Semi-Confirmatory Structural Equation Modeling source R code

Package Source

lslx_0.6.11.tar.gz

Windows Binaries

r-devel: lslx_0.6.11.zip , r-release: lslx_0.6.11.zip , r-oldrel: lslx_0.6.11.zip

lslx_0.6.11.zip lslx_0.6.11.zip lslx_0.6.11.zip

MacOS Binaries

r-release (arm64): lslx_0.6.11.tgz , r-oldrel (arm64): lslx_0.6.11.tgz , r-release (x86_64): lslx_0.6.11.tgz , r-oldrel (x86_64): lslx_0.6.11.tgz

lslx_0.6.11.tgz lslx_0.6.11.tgz lslx_0.6.11.tgz lslx_0.6.11.tgz

Old Sources

lslx archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"lslx.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/refman/lslx.html"},{"label":"lslx.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/lslx.pdf"},{"label":"Semi-Confirmatory Factor Analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/factor-analysis.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/factor-analysis.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/factor-analysis.R"},{"label":"Factor Analysis with Missing Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/missing-data-analysis.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/missing-data-analysis.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/missing-data-analysis.R"},{"label":"Multi-Group Factor Analysis","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/multi-group-analysis.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/multi-group-analysis.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/multi-group-analysis.R"},{"label":"Regression Analysis with Lasso Penalty","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/regression-analysis.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/regression-analysis.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/regression-analysis.R"},{"label":"Semi-Confirmatory Structural Equation Modeling","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/structural-equation-modeling.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/structural-equation-modeling.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lslx/vignettes/structural-equation-modeling.R"}]

Text

Reference manual: lslx.html , lslx.pdf Vignettes: Semi-Confirmatory Factor Analysis ( source , R code ) Factor Analysis with Missing Data ( source , R code ) Multi-Group Factor Analysis ( source , R code ) Regression Analysis with Lasso Penalty ( source , R code ) Semi-Confirmatory Structural Equation Modeling ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"lslx_0.6.11.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/lslx_0.6.11.tar.gz"},{"label":"lslx_0.6.11.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/lslx_0.6.11.zip"},{"label":"lslx_0.6.11.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/lslx_0.6.11.zip"},{"label":"lslx_0.6.11.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/lslx_0.6.11.zip"},{"label":"lslx_0.6.11.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/lslx_0.6.11.tgz"},{"label":"lslx_0.6.11.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/lslx_0.6.11.tgz"},{"label":"lslx_0.6.11.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/lslx_0.6.11.tgz"},{"label":"lslx_0.6.11.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/lslx_0.6.11.tgz"},{"label":"lslx archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/lslx"}]

Text

Package source: lslx_0.6.11.tar.gz Windows binaries: r-devel: lslx_0.6.11.zip , r-release: lslx_0.6.11.zip , r-oldrel: lslx_0.6.11.zip macOS binaries: r-release (arm64): lslx_0.6.11.tgz , r-oldrel (arm64): lslx_0.6.11.tgz , r-release (x86_64): lslx_0.6.11.tgz , r-oldrel (x86_64): lslx_0.6.11.tgz Old sources: lslx archive

Linking

Heading

Linking

Links

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

Text

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

Documentation 17

lslx.html lslx.pdf Semi-Confirmatory Factor Analysis source R code Factor Analysis with Missing Data source R code Multi-Group Factor Analysis source R code Regression Analysis with Lasso Penalty source R code Semi-Confirmatory Structural Equation Modeling source R code

Vignettes 15

Downloads 9

lslx_0.6.11.tar.gz lslx_0.6.11.zip lslx_0.6.11.zip lslx_0.6.11.zip lslx_0.6.11.tgz lslx_0.6.11.tgz lslx_0.6.11.tgz lslx_0.6.11.tgz lslx archive

All page links 42

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.6.11		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Psychometric Models and Methods · 2026-05-30