# Factor Model Estimation with Latent Variables

## Documentation for package ‘factorana’ version 1.7.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bootstrap_factorana | Single-node bootstrap driver (convenience over the primitives)
bootstrap_factorana_multistage | Multi-stage single-node bootstrap driver
bootstrap_fit_sample | Estimate one stage for one bootstrap sample (restartable)
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
collect_bootstrap | Collect finished bootstrap samples into standard errors and intervals
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)
evaluate_obs_scores_cpp | Per-observation scores for sandwich / cluster-robust standard errors
extract_free_params_cpp | Extract free parameters from full parameter vector
fix_coefficient | Fix a coefficient in a model component
fix_factor_param | Fix a factor-distribution parameter at model-definition time
fix_type_intercepts | Fix type-specific intercepts to zero for a model component
gauss_hermite_quadrature | Compute Gauss-Hermite quadrature nodes and weights
generate_bootstrap_samples | Generate and persist bootstrap resampling 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
robust_se | Robust / cluster-robust standard errors for a fitted factorana model
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
simulate_factor_model | Simulate data from a factorana model
summary.factorana_result | Summary method for factorana_result objects
vcov_factorana | Robust and cluster-robust covariance for a fitted factorana model
write_model_config_csv | Write a single CSV with all configuration rows