Simulated discovery and holdout observations | Baseline and diagnostics | Factor reliability and scoring direction | Holdout EFA and optional CFA | Bootstrap the complete search
Package: ItemRest 1.0.0
ItemRest: Automated Item Removal Strategies for Exploratory Factor Analysis
Identifies candidate item sets through threshold-driven iterative removal searches in exploratory factor analysis. Provides a no-removal baseline, numerical diagnostics, factor reliability, holdout evaluation, and bootstrap search stability to support transparent screening and documented content review rather than automatic measurement decisions. The loading criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff).
Authors:
ItemRest_1.0.0.tar.gz
ItemRest_1.0.0.zip(r-4.7-any)ItemRest_1.0.0.zip(r-4.6-any)ItemRest_1.0.0.zip(r-4.5-any)
ItemRest_1.0.0.tgz(r-4.6-any)ItemRest_1.0.0.tgz(r-4.5-any)
ItemRest_1.0.0.tar.gz(r-4.7-any)ItemRest_1.0.0.tar.gz(r-4.6-any)
ItemRest_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ItemRest/json (API)
| # Install 'ItemRest' in R: |
| install.packages('ItemRest', repos = c('https://ahmetcaliskan1987.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahmetcaliskan1987/itemrest/issues
efafactor-analysisitem-analysisitem-removal
Last updated from:79d13132d2. Checks:7 OK, 2 NOTE. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 187 | ||
| source / vignettes | OK | 200 | ||
| linux-release | OK | 169 | ||
| macos-release | OK | 234 | ||
| macos-oldrel | NOTE | 234 | ||
| windows-devel | OK | 124 | ||
| windows-release | OK | 102 | ||
| windows-oldrel | NOTE | 120 | ||
| wasm-release | OK | 120 |
Exports:itemrestitemrest_bootstrapitemrest_splititemrest_validate
Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclueclustercolorspacecorpcorcpp11data.tabledigestevaluatefarverfastmapfdrtoolfontawesomeforeignFormulafsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemimemnormtnlmennetnumDerivpbapplypbivnormpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Identify Candidate Item Sets for Exploratory Factor Analysis | itemrest |
| Bootstrap the Entire Threshold-Driven Candidate Search | itemrest_bootstrap |
| Split Observations into Discovery and Validation Samples | itemrest_split |
| Reevaluate Prespecified Candidate Sets on Validation Data | itemrest_validate |
| Print Candidate Solutions from ItemRest | print.itemrest_result |