Package index • OptimalFactor

EFA Optimization

Functions for Exploratory Factor Analysis optimization

efa_boosting(): EFA-Boosting Optimization
efa_optimizer(): Exploratory Factor Analysis Optimizer with Optional LLM Support
optimal_efa_with_ai(): Exploratory Factor Analysis Optimization with AI Assistance
redundancy_short_form(): Redundancy-Guided Short Form of a Unidimensional Scale

Functions for Confirmatory Factor Analysis optimization

cfa_boosting(): CFA-Boosting Optimization
optimal_cfa_with_ai(): Confirmatory Factor Analysis Optimization with AI Assistance
specification_search_theory(): Theory-Guided Specification Search for CFA Models
cross_validate_cfa(): Split-Half Cross-Validation of a Factor Model
bifactor_indices(): Bifactor Statistical Indices
discriminant_boosting(): Discriminant-Boosting: Rescue the Discriminant Validity of a Scale
print(<discriminant_boosting>): Print method for discriminant_boosting
local_fit_search(): Local-Fit Search for a Unidimensional Model
print(<local_fit_search>): Print method for local_fit_search
print(<specification_search>): Print method for specification_search

Evidence that a data-driven item selection is not capitalizing on chance, and Monte Carlo evidence on when the pipeline recovers a known structure.

item_stability() print(<item_stability>): Resampling Stability of the EFA-Boosting Item Selection
algorithm_stability(): Split-Half Stability of Any Item-Selection Algorithm
theory_recovery(): How Much of the Theoretical Structure a Solution Recovers
simulate_recovery() print(<simulate_recovery>): Monte Carlo Recovery of a Known Factor Structure
plot(<simulate_recovery>): Plot a Recovery Simulation
simulate_cfa_recovery() print(<simulate_cfa_recovery>): Monte Carlo Recovery of a Known Structure with CFA-Boosting
plot(<simulate_cfa_recovery>): Plot a CFA Recovery Simulation

Functions for displaying and exporting results

print_efa_results(): Print Results from AI-Assisted EFA Refinement
print_cfa_results(): Print Results from AI-Assisted CFA Refinement
print_cfa_boosting(): Print CFA-Boosting Results
report_efa_results(): Console Report for EFA Optimization Results
report_cfa_results(): Report the CFA boosting results
export_cfa_boosting(): Export CFA Boosting Results to Structured Data Frames
imprimir_items_eliminados(): Impresión de Ítems Eliminados

Functions for AI-powered conceptual analysis

print_conceptual_analysis(): Pretty-print LLM Conceptual Analyses for Removed/Retained Items
export_conceptual_analysis(): Export LLM Conceptual Analyses to a UTF-8 Text File

Datasets included in the package

Kept for backward compatibility. Use specification_search_theory() instead, which adds a theory-congruence penalty to the loss.

specification_search(): Heuristic Specification Search for CFA Models (deprecated)