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-4.5)gesca_1.0.5.zip(r-4.4)gesca_1.0.5.zip(r-4.3)
gesca_1.0.5.tgz(r-4.5-any)gesca_1.0.5.tgz(r-4.4-any)gesca_1.0.5.tgz(r-4.3-any)
gesca_1.0.5.tar.gz(r-4.5-noble)gesca_1.0.5.tar.gz(r-4.4-noble)
gesca_1.0.5.tgz(r-4.4-emscripten)gesca_1.0.5.tgz(r-4.3-emscripten)
gesca.pdf |gesca.html✨
gesca/json (API)
NEWS

# 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 site:https://quantmm.github.io

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

On CRAN:

Conda:

3.45 score 28 scripts 257 downloads 2 mentions 6 exports 0 dependencies

Last updated 1 years agofrom:7588d5c9dd. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winOKMar 22 2025
R-4.5-macOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-winOKMar 22 2025
R-4.4-macOKMar 22 2025
R-4.4-linuxOKMar 22 2025
R-4.3-winOKMar 22 2025
R-4.3-macOKMar 22 2025

Exports:effectmeasuresfitmeasuresgesca.runlatentmeasuresqualmeasuressummary.gesca

Dependencies: