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-4.5)latentFactoR_0.0.7.zip(r-4.4)latentFactoR_0.0.7.zip(r-4.3)
latentFactoR_0.0.7.tgz(r-4.4-any)latentFactoR_0.0.7.tgz(r-4.3-any)
latentFactoR_0.0.7.tar.gz(r-4.5-noble)latentFactoR_0.0.7.tar.gz(r-4.4-noble)
latentFactoR_0.0.7.tgz(r-4.4-emscripten)latentFactoR_0.0.7.tgz(r-4.3-emscripten)
latentFactoR.pdf |latentFactoR.html✨
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 3 months agofrom:5e072ff949. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 28 2024 |
R-4.5-win | ERROR | Oct 28 2024 |
R-4.5-linux | ERROR | Oct 28 2024 |
R-4.4-win | ERROR | Oct 28 2024 |
R-4.4-mac | ERROR | Oct 28 2024 |
R-4.3-win | ERROR | Oct 28 2024 |
R-4.3-mac | ERROR | Oct 28 2024 |
Exports:add_cross_loadingsadd_local_dependenceadd_method_factorsadd_population_erroradd_wording_effectscategorizedata_to_zipfsEKCESEMestimate_dimensionsfactor_forestNESTobtain_zipfs_parameterssimulate_factors
Dependencies:abindarmaskpassbackportsbase64encBBmiscBHbitbit64bootbroombslibcachemcarcarDatacheckmateclarabelcliclueclustercodacodetoolscolorspacecorpcorcorrplotcowplotcpp11crayoncurlCVXRdata.tabledendextendDEoptimDerivdigestdoBydplyrECOSolveREGAnetevaluatefansifarverfastmapfastmatchfdrtoolfontawesomeforcatsforeachforeignFormulafsfspefungiblefuturefuture.applyGAgarglegenericsGGallyggplot2ggpubrggrepelggsciggsignifggstatsglassoglobalsgluegmpgoogledriveGPArotationgridExtragtablegtoolshighrHmischmshtmlTablehtmltoolshtmlwidgetshttrigraphineqisobanditeratorsjpegjquerylibjsonliteknitrkutilslabelinglatticelavaanlifecyclelisrelToRlistenvlme4magrittrMASSMatrixMatrixModelsMBESSmcmcMCMCpackmemoisemgcvmimicrobenchmarkmimeminqamlrmnormtmodelrmunsellmvtnormnetworknleqslvnlmenloptrnnetnumDerivOpenMxopensslopenxlsxosqpparallellyparallelMapParamHelperspatchworkpbapplypbivnormpbkrtestpbmcapplypillarpkgconfigplyrpngpolynomprettyunitsprogressprogressrpsychpurrrqgraphquadprogquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRcsdpreshape2rlangrmarkdownRmpfrrockchalkrpartrpfRSpectrarstatixrstudioapiRUnitsassscalesscssemsemPlotsemToolssnaSparseMStanHeadersstatnet.commonstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8uuidvctrsviridisviridisLitewithrxfunxgboostXMLxtableyamlzip
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 |