Package: cfa 0.10-1
cfa: Configural Frequency Analysis (CFA)
Analysis of configuration frequencies for simple and repeated measures, multiple-samples CFA, hierarchical CFA, bootstrap CFA, functional CFA, Kieser-Victor CFA, and Lindner's test using a conventional and an accelerated algorithm.
Authors:
cfa_0.10-1.tar.gz
cfa_0.10-1.zip(r-4.5)cfa_0.10-1.zip(r-4.4)cfa_0.10-1.zip(r-4.3)
cfa_0.10-1.tgz(r-4.4-any)cfa_0.10-1.tgz(r-4.3-any)
cfa_0.10-1.tar.gz(r-4.5-noble)cfa_0.10-1.tar.gz(r-4.4-noble)
cfa_0.10-1.tgz(r-4.4-emscripten)cfa_0.10-1.tgz(r-4.3-emscripten)
cfa.pdf |cfa.html✨
cfa/json (API)
| # Install 'cfa' in R: |
| install.packages('cfa', repos = c('https://pmair78.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 8 months agofrom:5440f75129. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:bcfacfafCFAhcfakvCFAmcfaPXisMPXisMclassicscfa
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrap-CFA | bcfa |
| Analysis of configuration frequencies | cfa |
| Stepwise CFA approaches | fCFA kvCFA print.fCFA print.kvCFA summary.fCFA summary.kvCFA |
| Hierachical analysis of configuration frequencies | hcfa |
| Two or more-sample CFA | mcfa |
| Plotting method for a bcfa object | plot.bcfa |
| Plotting method for a hcfa object | plot.hcfa |
| Plotting method for a mcfa object | plot.mcfa |
| Plotting method for a scfa object | plot.scfa |
| Print an object of the class hcfa | print.bcfa |
| Print an object of the class hcfa | print.hcfa |
| Print an object of the class mcfa | print.mcfa |
| Print an object of the class scfa | print.scfa |
| Test according to Lindner | PXisM |
| Test according to Lindner | PXisMclassic |
| One sample CFA | scfa |
