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-4.4-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'))

Peer review:

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

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

On CRAN:

3.75 score 28 scripts 346 downloads 2 mentions 6 exports 0 dependencies

Last updated 10 months agofrom:7588d5c9dd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:effectmeasuresfitmeasuresgesca.runlatentmeasuresqualmeasuressummary.gesca

Dependencies: