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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>.

Version: 1.0.3
Depends: openxlsx, psych, R (≥ 2.10)
Imports: purrr
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2023-02-04
DOI: 10.32614/CRAN.package.coefa
Author: Xijian Zheng [aut, cre], Huiyong Fan [aut]
Maintainer: Xijian Zheng <psydreammer at foxmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: coefa results

Documentation:

Reference manual: coefa.pdf
Vignettes: Introduction

Downloads:

Package source: coefa_1.0.3.tar.gz
Windows binaries: r-devel: coefa_1.0.3.zip, r-release: coefa_1.0.3.zip, r-oldrel: coefa_1.0.3.zip
macOS binaries: r-release (arm64): coefa_1.0.3.tgz, r-oldrel (arm64): coefa_1.0.3.tgz, r-release (x86_64): coefa_1.0.3.tgz, r-oldrel (x86_64): coefa_1.0.3.tgz
Old sources: coefa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coefa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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