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: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]

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✨
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:

skew_tables - Skew Tables

On CRAN:

3.48 score 3 stars 3 scripts 239 downloads 14 exports 182 dependencies

Last updated from:a6467ab352. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	226
source / vignettes	OK	302
linux-release-x86_64	OK	233
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	109
windows-devel	OK	163
windows-release	OK	148
windows-oldrel	OK	131
wasm-release	OK	187

Exports:add_cross_loadings add_local_dependence add_method_factors add_population_error add_wording_effects categorize data_to_zipfs EKC ESEM estimate_dimensions factor_forest NEST obtain_zipfs_parameters simulate_factors

Dependencies:abind arm askpass backports base64enc BBmisc BH boot broom bslib cachem car carData checkmate cli clue cluster coda codetools colorspace corpcor corrplot cowplot cpp11 crayon curl data.table dendextend Deriv digest doBy dplyr EGAnet evaluate farver fastmap fastmatch fdrtool fontawesome forcats forecast foreign Formula fracdiff fs fspe future future.apply gargle generics GGally ggplot2 ggpubr ggrepel ggsci ggsignif ggstats glasso glassoFast globals glue googledrive GPArotation gridExtra gtable gtools highr Hmisc hms htmlTable htmltools htmlwidgets httr igraph ineq isoband jpeg jquerylib jsonlite knitr kutils labeling lattice lavaan lifecycle lisrelToR listenv lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mi microbenchmark mime minqa mlr mnormt modelr mvtnorm network nlme nloptr nnet numDeriv OpenMx openssl openxlsx parallelly parallelMap ParamHelpers patchwork pbapply pbivnorm pbkrtest pillar pkgconfig plyr png polynom prettyunits progress progressr psych purrr qgraph quadprog quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack reformulas reshape2 rlang rmarkdown rockchalk rpart rpf rstatix rstudioapi RUnit S7 sass scales sem semPlot sna SparseM StanHeaders statnet.common stringi stringr survival sys tibble tidyr tidyselect timeDate tinytex urca utf8 uuid vctrs viridis viridisLite withr xfun xgboost XML xtable yaml zip zoo

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

Package: latentFactoR 0.0.7

latentFactoR: Data Simulation Based on Latent Factors

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