Factor Model Estimation with Latent Variables

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Documentation for package ‘factorana’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

build_dynamic_previous_stage	Build a Stage 2 previous_stage object from a dynamic measurement fit
cleanup_parallel_workers	Clean up orphaned parallel worker processes
components_table	Create a components table for a single model
components_to_latex	Export components table to LaTeX
define_dynamic_measurement	Define a dynamic measurement system for longitudinal factor models
define_estimation_control	Define estimation control settings
define_factor_model	Define latent factor model structure
define_model_component	Define a model component
define_model_system	Define a model system
disable_adaptive_quadrature_cpp	Disable adaptive quadrature
estimate_and_write	Run estimation and write standard output files
estimate_factorscores_rcpp	Estimate Factor Scores
estimate_model	Estimate model
estimate_model_rcpp	Estimate factor model using R-based optimization
evaluate_factorscore_likelihood_cpp	Evaluate log-likelihood for a single observation at given factor values
evaluate_likelihood_cpp	Evaluate log-likelihood for given parameters
evaluate_loglik_only_cpp	Evaluate log-likelihood only (for optimization)
extract_free_params_cpp	Extract free parameters from full parameter vector
fix_coefficient	Fix a coefficient in a model component
fix_type_intercepts	Fix type-specific intercepts to zero for a model component
gauss_hermite_quadrature	Compute Gauss-Hermite quadrature nodes and weights
get_parameter_info_cpp	Get parameter counts from FactorModel
initialize_factor_model_cpp	Initialize a FactorModel C++ object from R model system
initialize_parameters	Initialize parameters for factor model estimation
print.components_table	Print method for components_table
print.factorana_factorscores	Print method for factorana_factorscores
print.factorana_result	Print and Summary Methods for Factor Model Results
print.factorana_table	Print method for factorana_table
print.model_component	Print method for model_component objects
print.summary.factorana_result	Print method for summary.factorana_result
results_table	Create a formatted results table for multiple models
results_to_latex	Export results table to LaTeX
set_adaptive_quadrature_cpp	Set up adaptive quadrature based on factor scores and standard errors
set_observation_weights_cpp	Set observation weights for weighted likelihood estimation
summary.factorana_result	Summary method for factorana_result objects
write_model_config_csv	Write a single CSV with all configuration rows