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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 |
| 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 |
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These binaries (installable software) and packages are in development.
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