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CRAN: Package MIIVefa

MIIVefa: Exploratory Factor Analysis Using Model Implied Instrumental Variables

Data-driven approach for Exploratory Factor Analysis (EFA) that uses Model Implied Instrumental Variables (MIIVs). The method starts with a one factor model and arrives at a suggested model with enhanced interpretability that allows cross-loadings and correlated errors.

Version: 0.1.2 Depends: R (≥ 4.2.0) Imports: MIIVsem Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0), mnormt, lavaan, MPsychoR Published: 2024-02-17 DOI: 10.32614/CRAN.package.MIIVefa Author: Lan Luo [aut, cre], Kathleen Gates [aut], Kenneth A. Bollen [aut] Maintainer: Lan Luo <lanl27 at live.unc.edu> BugReports: https://github.com/lluo0/MIIVefa/issues License: MIT + file LICENSE URL: https://github.com/lluo0/MIIVefa/ NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: MIIVefa results Documentation: Reference manual: MIIVefa.pdf Vignettes: MIIVefa and usage examples (source, R code)
Downloads: Package source: MIIVefa_0.1.2.tar.gz Windows binaries: r-devel: MIIVefa_0.1.2.zip, r-release: MIIVefa_0.1.2.zip, r-oldrel: MIIVefa_0.1.2.zip macOS binaries: r-release (arm64): MIIVefa_0.1.2.tgz, r-oldrel (arm64): MIIVefa_0.1.2.tgz, r-release (x86_64): MIIVefa_0.1.2.tgz, r-oldrel (x86_64): MIIVefa_0.1.2.tgz Old sources: MIIVefa archive Linking:

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