Package: latentFactoR 0.0.9
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_0.0.9.tar.gz
latentFactoR_0.0.9.zip(r-4.7-x86_64)latentFactoR_0.0.9.zip(r-4.7-arm64)latentFactoR_0.0.9.zip(r-4.6-x86_64)latentFactoR_0.0.9.zip(r-4.6-arm64)latentFactoR_0.0.9.zip(r-4.5-x86_64)
latentFactoR_0.0.9.tgz(r-4.6-x86_64)latentFactoR_0.0.9.tgz(r-4.6-arm64)latentFactoR_0.0.9.tgz(r-4.5-x86_64)latentFactoR_0.0.9.tgz(r-4.5-arm64)
latentFactoR_0.0.9.tar.gz(r-4.7-arm64)latentFactoR_0.0.9.tar.gz(r-4.7-x86_64)latentFactoR_0.0.9.tar.gz(r-4.6-arm64)latentFactoR_0.0.9.tar.gz(r-4.6-x86_64)
latentFactoR_0.0.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
latentFactoR/json (API)
| # 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:4e5768f8e3. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 164 | ||
| linux-devel-x86_64 | OK | 204 | ||
| source / vignettes | OK | 226 | ||
| linux-release-arm64 | OK | 156 | ||
| linux-release-x86_64 | OK | 152 | ||
| macos-release-arm64 | OK | 150 | ||
| macos-release-x86_64 | OK | 278 | ||
| macos-oldrel-arm64 | OK | 137 | ||
| macos-oldrel-x86_64 | OK | 193 | ||
| windows-devel-arm64 | OK | 378 | ||
| windows-devel-x86_64 | OK | 168 | ||
| windows-release-arm64 | OK | 378 | ||
| windows-release-x86_64 | OK | 145 | ||
| windows-oldrel-x86_64 | OK | 100 | ||
| wasm-release | OK | 159 |
Exports:add_cross_loadingsadd_local_dependenceadd_method_factorsadd_population_erroradd_wording_effectscategorizedata_to_zipfsEKCESEMestimate_dimensionsfactor_forestNESTobtain_zipfs_parameterssimulate_factorssimulate_hierarchical_factors
Dependencies:abindaskpassbackportsbase64encBBmiscbootbroombslibcachemcarcarDatacheckmatecliclueclustercodacodetoolscolorspacecorpcorcorrplotcowplotcpp11crayoncurldata.tabledendextendDerivdigestdoBydplyrEGAnetevaluatefarverfastmapfastmatchfdrtoolfontawesomeforcatsforecastforeignFormulafracdifffsfspefuturefuture.applygarglegenericsGGallyggplot2ggpubrggrepelggsciggsignifggstatsglassoglassoFastglobalsgluegoogledriveGPArotationgridExtragtablegtoolshighrHmischmshtmlTablehtmltoolshtmlwidgetshttrigraphineqisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamlrmnormtmodelrmvtnormnetworknlmenloptrnnetnumDerivopensslparallellyparallelMapParamHelperspatchworkpbapplypbivnormpbkrtestpillarpkgconfigplyrpngpolynomprettyunitsprogressprogressrpsychpurrrqgraphquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrmarkdownrpartrstatixrstudioapiS7sassscalessemPlotsnaSparseMstatnet.commonstringistringrsurvivalsystibbletidyrtidyselecttimeDatetinytexurcautf8uuidvctrsviridisviridisLitewithrxfunxgboostXMLyamlzoo