Package: latentFactoR 0.0.8

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:Alexander Christensen [aut, cre], Luis Eduardo Garrido [aut], Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut], Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut], David Blackman [ctb], Sebastiano Vigna [ctb], John Burkardt [cph, ctb]

latentFactoR_0.0.8.tar.gz
latentFactoR_0.0.8.zip(r-4.7-x86_64)latentFactoR_0.0.8.zip(r-4.6-x86_64)latentFactoR_0.0.8.zip(r-4.5-x86_64)
latentFactoR_0.0.8.tgz(r-4.6-x86_64)latentFactoR_0.0.8.tgz(r-4.6-arm64)latentFactoR_0.0.8.tgz(r-4.5-x86_64)latentFactoR_0.0.8.tgz(r-4.5-arm64)
latentFactoR_0.0.8.tar.gz(r-4.7-arm64)latentFactoR_0.0.8.tar.gz(r-4.7-x86_64)latentFactoR_0.0.8.tar.gz(r-4.6-arm64)latentFactoR_0.0.8.tar.gz(r-4.6-x86_64)
latentFactoR_0.0.8.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

Datasets:

On CRAN:

Conda:

3.78 score 3 stars 3 scripts 204 downloads 15 exports 166 dependencies

Last updated from:b8cf27930d. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK169
linux-devel-x86_64OK212
source / vignettesOK235
linux-release-arm64OK170
linux-release-x86_64OK204
macos-release-arm64OK129
macos-release-x86_64OK204
macos-oldrel-arm64OK119
macos-oldrel-x86_64OK288
windows-devel-x86_64OK123
windows-release-x86_64OK135
windows-oldrel-x86_64OK139
wasm-releaseOK1786

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