Package: latentFactoR 0.0.7
latentFactoR: Data Simulation Based on Latent Factors
Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.
Authors:
latentFactoR_0.0.7.tar.gz
latentFactoR_0.0.7.zip(r-4.7)latentFactoR_0.0.7.zip(r-4.6)latentFactoR_0.0.7.zip(r-4.5)
latentFactoR_0.0.7.tgz(r-4.6-any)latentFactoR_0.0.7.tgz(r-4.5-any)
latentFactoR_0.0.7.tar.gz(r-4.7-any)latentFactoR_0.0.7.tar.gz(r-4.6-any)
latentFactoR_0.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
latentFactoR/json (API)
NEWS
| # Install 'latentFactoR' in R: |
| install.packages('latentFactoR', repos = c('https://alexchristensen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexchristensen/latentfactor/issues
- skew_tables - Skew Tables
Last updated from:a6467ab352. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 221 | ||
| source / vignettes | OK | 238 | ||
| linux-release-x86_64 | OK | 215 | ||
| macos-release-arm64 | OK | 104 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| windows-devel | OK | 144 | ||
| windows-release | OK | 149 | ||
| windows-oldrel | OK | 137 | ||
| wasm-release | OK | 182 |
Exports:add_cross_loadingsadd_local_dependenceadd_method_factorsadd_population_erroradd_wording_effectscategorizedata_to_zipfsEKCESEMestimate_dimensionsfactor_forestNESTobtain_zipfs_parameterssimulate_factors
Dependencies:abindarmaskpassbackportsbase64encBBmiscBHbootbroombslibcachemcarcarDatacheckmatecliclueclustercodacodetoolscolorspacecorpcorcorrplotcowplotcpp11crayoncurldata.tabledendextendDerivdigestdoBydplyrEGAnetevaluatefarverfastmapfastmatchfdrtoolfontawesomeforcatsforecastforeignFormulafracdifffsfspefuturefuture.applygarglegenericsGGallyggplot2ggpubrggrepelggsciggsignifggstatsglassoglassoFastglobalsgluegoogledriveGPArotationgridExtragtablegtoolshighrHmischmshtmlTablehtmltoolshtmlwidgetshttrigraphineqisobandjpegjquerylibjsonliteknitrkutilslabelinglatticelavaanlifecyclelisrelToRlistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimicrobenchmarkmimeminqamlrmnormtmodelrmvtnormnetworknlmenloptrnnetnumDerivOpenMxopensslopenxlsxparallellyparallelMapParamHelperspatchworkpbapplypbivnormpbkrtestpillarpkgconfigplyrpngpolynomprettyunitsprogressprogressrpsychpurrrqgraphquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasreshape2rlangrmarkdownrockchalkrpartrpfrstatixrstudioapiRUnitS7sassscalessemsemPlotsnaSparseMStanHeadersstatnet.commonstringistringrsurvivalsystibbletidyrtidyselecttimeDatetinytexurcautf8uuidvctrsviridisviridisLitewithrxfunxgboostXMLxtableyamlzipzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| latentFactoR-package | latentFactoR-package latentFactoR |
| Adds (Substantial) Cross-loadings to 'simulate_factors' Data | add_cross_loadings |
| Adds Local Dependence to 'simulate_factors' Data | add_local_dependence |
| Adds Methods Factors to 'simulate_factors' Data | add_method_factors |
| Adds Population Error to 'simulate_factors' Data | add_population_error |
| Adds Wording Effects to 'simulate_factors' Data | add_wording_effects |
| Categorize Continuous Data | categorize |
| Transforms 'simulate_factors' Data to Zipf's Distribution | data_to_zipfs |
| Estimate Number of Dimensions using Empirical Kaiser Criterion | EKC |
| Estimates Exploratory Structural Equation Model | ESEM |
| Estimates Dimensions using Several State-of-the-art Methods | estimate_dimensions |
| Estimate Number of Dimensions using Factor Forest | factor_forest |
| Estimate Number of Dimensions using Next Eigenvalue Sufficiency Test | NEST |
| Obtain Zipf's Distribution Parameters from Data | obtain_zipfs_parameters |
| Simulates Latent Factor Data | simulate_factors |
| Skew Tables | skew_tables |
