R: Data Simulation Based on Latent Factors

# Data Simulation Based on Latent Factors

## Documentation for package ‘latentFactoR’ version 0.0.6

- DESCRIPTION file.
- Package NEWS.

## Help Pages

latentFactoR-package | latentFactoR-package
add_cross_loadings | Adds (Substantial) Cross-loadings to 'simulate_factors' Data
add_local_dependence | Adds Local Dependence to 'simulate_factors' Data
add_method_factors | Adds Methods Factors to 'simulate_factors' Data
add_population_error | Adds Population Error to 'simulate_factors' Data
add_wording_effects | Adds Wording Effects to 'simulate_factors' Data
categorize | Categorize Continuous Data
data_to_zipfs | Transforms 'simulate_factors' Data to Zipf's Distribution
EKC | Estimate Number of Dimensions using Empirical Kaiser Criterion
ESEM | Estimates Exploratory Structural Equation Model
estimate_dimensions | Estimates Dimensions using Several State-of-the-art Methods
factor_forest | Estimate Number of Dimensions using Factor Forest
latentFactoR | latentFactoR-package
NEST | Estimate Number of Dimensions using Next Eigenvalue Sufficiency Test
obtain_zipfs_parameters | Obtain Zipf's Distribution Parameters from Data
simulate_factors | Simulates Latent Factor Data
skew_tables | Skew Tables