Package: coefa 1.0.3

coefa: Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices

Provide a series of functions to conduct a meta analysis of factor analysis based on co-occurrence matrices. The tool can be used to solve the factor structure (i.e. inner structure of a construct, or scale) debate in several disciplines, such as psychology, psychiatry, management, education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>; Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.

Authors:Xijian Zheng [aut, cre], Huiyong Fan [aut]

coefa_1.0.3.tar.gz
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coefa.pdf |coefa.html
coefa/json (API)
NEWS

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

Peer review:

Datasets:
  • matrices_acm - The aggregated co-occurrence matrix
  • spence8 - The factor loading matrices of 8 exploratory factor analysis for spence children anxiety scale(SCAS).

On CRAN:

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

2.70 score 4 scripts 190 downloads 8 exports 16 dependencies

Last updated 2 years agofrom:bf3d90c572. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:coefa_acmcoefa_facoefa_fixdiacoefa_gcmcoefa_readcoefa_summarycoefa_tflmcoefa_tflm2

Dependencies:cliglueGPArotationlatticelifecyclemagrittrmnormtnlmeopenxlsxpsychpurrrRcpprlangstringivctrszip

coefa: A R Package for Meta Analysis of Factor Analysis Based on Co-occurrence Matrices

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2023-02-04
Started: 2022-09-26