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]

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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

Datasets:

skew_tables - Skew Tables

On CRAN:

3.88 score 3 stars 2 scripts 593 downloads 14 exports 194 dependencies

Last updated 5 months agofrom:5e072ff949. Checks:1 OK, 6 ERROR. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Dec 27 2024
R-4.5-win	ERROR	Dec 27 2024
R-4.5-linux	ERROR	Dec 27 2024
R-4.4-win	ERROR	Dec 27 2024
R-4.4-mac	ERROR	Dec 27 2024
R-4.3-win	ERROR	Dec 27 2024
R-4.3-mac	ERROR	Dec 27 2024

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 bit bit64 boot broom bslib cachem car carData checkmate cli clue cluster coda codetools colorspace corpcor corrplot cowplot cpp11 crayon curl CVXR data.table dendextend DEoptim Deriv digest doBy dplyr ECOSolveR EGAnet evaluate fansi farver fastmap fastmatch fdrtool fontawesome forcats foreach foreign Formula fs fspe fungible future future.apply GA gargle generics GGally ggplot2 ggpubr ggrepel ggsci ggsignif ggstats glasso globals glue gmp googledrive GPArotation gridExtra gtable gtools highr Hmisc hms htmlTable htmltools htmlwidgets httr igraph ineq isoband iterators jpeg jquerylib jsonlite knitr kutils labeling lattice lavaan lifecycle lisrelToR listenv lme4 magrittr MASS Matrix MatrixModels MBESS mcmc MCMCpack memoise mgcv mi microbenchmark mime minqa mlr mnormt modelr munsell mvtnorm network nleqslv nlme nloptr nnet numDeriv OpenMx openssl openxlsx osqp parallelly parallelMap ParamHelpers patchwork pbapply pbivnorm pbkrtest pbmcapply pillar pkgconfig plyr png polynom prettyunits progress progressr psych purrr qgraph quadprog quantreg R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rcsdp reshape2 rlang rmarkdown Rmpfr rockchalk rpart rpf RSpectra rstatix rstudioapi RUnit sass scales scs sem semPlot semTools sna SparseM StanHeaders statnet.common stringi stringr survival sys tibble tidyr tidyselect tinytex utf8 uuid vctrs viridis viridisLite withr xfun xgboost XML xtable yaml zip

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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