Package: EFAutilities 2.1.3

EFAutilities: Utility Functions for Exploratory Factor Analysis

A number of utility function for exploratory factor analysis are included in this package. In particular, it computes standard errors for parameter estimates and factor correlations under a variety of conditions.

Authors:Guangjian Zhang, Ge Jiang, Minami Hattori, Lauren Trichtinger

EFAutilities_2.1.3.tar.gz
EFAutilities_2.1.3.zip(r-4.5)EFAutilities_2.1.3.zip(r-4.4)EFAutilities_2.1.3.zip(r-4.3)
EFAutilities_2.1.3.tgz(r-4.4-any)EFAutilities_2.1.3.tgz(r-4.3-any)
EFAutilities_2.1.3.tar.gz(r-4.5-noble)EFAutilities_2.1.3.tar.gz(r-4.4-noble)
EFAutilities_2.1.3.tgz(r-4.4-emscripten)EFAutilities_2.1.3.tgz(r-4.3-emscripten)
EFAutilities.pdf |EFAutilities.html✨
EFAutilities/json (API)
NEWS

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

Peer review:

Datasets:
  • BFI228 - Ordinal Data of the Big Five Inventory
  • CPAI537 - Composite Scores of the Chinese Personality Assessment Inventory

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.26 score 12 scripts 473 downloads 3 mentions 4 exports 5 dependencies

Last updated 1 years agofrom:736b4f8bb5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:Align.MatrixefaefaMRssem

Dependencies:GPArotationMASSmvtnormplyrRcpp

Examples

Rendered fromExamples.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2023-05-26
Started: 2022-08-28