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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 |
Reference manual: | MIIVefa.pdf |
Vignettes: |
MIIVefa and usage examples |
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 |
Please use the canonical form https://CRAN.R-project.org/package=MIIVefa 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.