Package: gesca 1.0.5

gesca: Generalized Structured Component Analysis Structural Equation Modeling

Implementing generalized structured component analysis (GSCA) and its basic extensions, including constrained single and multiple group analysis, and second order latent variable modeling. For a comprehensive overview of GSCA, see Hwang & Takane (2014, ISBN: 9780367738754).

Authors:Heungsun Hwang [aut], Sunmee Kim [aut, cre], Sungyoung Lee [aut], Taesung Park [aut]

gesca_1.0.5.tar.gz
gesca_1.0.5.zip(r-4.7-any)gesca_1.0.5.zip(r-4.6-any)gesca_1.0.5.zip(r-4.5-any)
gesca_1.0.5.tgz(r-4.6-any)gesca_1.0.5.tgz(r-4.5-any)
gesca_1.0.5.tar.gz(r-4.7-any)gesca_1.0.5.tar.gz(r-4.6-any)
gesca_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gesca/json (API)

# Install 'gesca' in R:
install.packages('gesca', repos = c('https://quantmm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/quantmm/gesca/issues

Pkgdown/docs site:https://quantmm.github.io

Datasets:
  • gesca.rick2 - Bagozzi's organizational identification example

On CRAN:

Conda:

3.46 score 29 scripts 273 downloads 2 mentions 6 exports 0 dependencies

Last updated from:7588d5c9dd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK116
linux-releaseOK89
macos-releaseOK129
macos-oldrelOK186
windows-develOK54
windows-releaseOK59
windows-oldrelOK58
wasm-releaseOK62

Exports:effectmeasuresfitmeasuresgesca.runlatentmeasuresqualmeasuressummary.gesca

Dependencies: