HEXACO_example_data     Example HEXACO Response Data
RMSE_range              Calculate the Overall RMSE of the Trait Scores,
                        or the RMSE in a Certain Trait Score Range
build_TIRT_var_names    Build Variable Names for the Pairwise/Rank
                        Responses in the TIRT Model
build_scale_with_blueprint
                        Construct Forced-Choice Blocks Aligned with the
                        Specifications in a Blueprint
cal_block_energy        Calculation of Item Block "Energy"
cal_block_energy_with_iia
                        Calculation of Item Block "Energy" with IIAs
                        Included
construct_blueprint     Build a Blueprint Data Frame for the Focal FC
                        Scale
convert_to_TIRT_response
                        Convert the Latent Utility Values into
                        Thurstonian IRT Pairwise/Rank Responses with
                        Pre-Specified Block Design
empirical_reliability   Calculate the Empirical Reliability of the
                        Latent Trait Scores, Following the Formula in
                        Brown & Maydeu-Olivares (2018).
facfun                  Function for Checking If All Items in a Vector
                        Are Unique
fit_TIRT_model          Fit the Thurstonian IRT Model with Long Format
                        Response Data
get_CFA_estimates       Conduct Confirmatory Factor Analysis (CFA) and
                        Obtain Parameter Estimates
get_TIRT_long_data      Convert the TIRT Pairwise/Rank Response Data
                        into Long Format Compatible with the
                        thurstonianIRT Package
get_iia                 Helper Function for Outputting IIA
                        Characteristics of Each Block
get_simulation_matrices
                        Generate Simulated Person and Item Parameter
                        Matrices for the Thurstonian IRT Model Based on
                        Confirmatory Factor Analysis Results
make_random_block       Construction of Random Item Blocks
plot_scores             Scatter Plot for True vs Estimated Scores, True
                        Score vs Absolute Error, etc.
predict_scores          Predict trait scores based on estimated model
sa_pairing_generalized
                        Automatic Item Pairing Method in Forced-Choice
                        Test Construction
triplet_block_info      Block Information for the Example Triplet
                        Response Data
triplet_example_data    Example Triplet Response Data
