Data Simulation Based on Latent Factors

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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