Package: ORIONZ.G 1.0.1
David Navarro-Gonzalez
ORIONZ.G: EAP Scoring in Exploratory FA Solutions with Correlated Residuals
Obtaining Bayes Expected A Posteriori (EAP) individual score estimates based on linear and non-linear extended Exploratoy Factor Analysis solutions that include a correlated-residual structure.
Authors:
ORIONZ.G_1.0.1.tar.gz
ORIONZ.G_1.0.1.tar.gz(r-4.5-noble)ORIONZ.G_1.0.1.tar.gz(r-4.4-noble)
ORIONZ.G_1.0.1.tgz(r-4.4-emscripten)ORIONZ.G_1.0.1.tgz(r-4.3-emscripten)
ORIONZ.G.pdf |ORIONZ.G.html✨
ORIONZ.G/json (API)
| # Install 'ORIONZ.G' in R: |
| install.packages('ORIONZ.G', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:8a14fc53c9. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-linux | OK | Jan 29 2025 |
Exports:discreBeap_grad_oblieapcondefNserieskordnormultiORIONzpgradreap_grad_oblirelicorrecsizetranspose
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EAP scoring in exploratory FA solutions with correlated residuals | ORIONZ.G-package |
| EAP scoring in exploratory FA solutions with correlated residuals | ORIONz |