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
