Package: MIIVefa 0.1.3
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.
Authors:
MIIVefa_0.1.3.tar.gz
MIIVefa_0.1.3.zip(r-4.7-any)MIIVefa_0.1.3.zip(r-4.6-any)MIIVefa_0.1.3.zip(r-4.5-any)
MIIVefa_0.1.3.tgz(r-4.6-any)MIIVefa_0.1.3.tgz(r-4.5-any)
MIIVefa_0.1.3.tar.gz(r-4.7-any)MIIVefa_0.1.3.tar.gz(r-4.6-any)
MIIVefa_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MIIVefa/json (API)
| # Install 'MIIVefa' in R: |
| install.packages('MIIVefa', repos = c('https://lluo0.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lluo0/miivefa/issues
Last updated from:26e2b6ee5c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 134 | ||
| source / vignettes | OK | 253 | ||
| linux-release | OK | 188 | ||
| macos-release | OK | 165 | ||
| macos-oldrel | OK | 185 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 119 |
Exports:miivefaselect_scalingind
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelavaanlifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvMIIVsemminqamnormtmodelrnlmenloptrnnetnumDerivpbivnormpbkrtestpillarpkgconfigpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exploratory Factor Analysis Using Model Implied Instrumental Variables. | miivefa |
| Exploratory Factor Analysis Using Model Implied Instrumental Variables. | select_scalingind |