FC_blocks               Actual FC Blocks construted from HEXACO-60
                        Items from Four Respondent Groups
FC_item_info            Keying and factor information for HEXACO-60
                        items
HEXACO_example_data     Example HEXACO Response Data
MOLE_data               Actual Response to FC scales in MOLE format
RMSE_range              Calculate Overall or Binned RMSE of Trait
                        Scores
build_blueprint_blocks
                        Build Forced-Choice Blocks from a Custom
                        Blueprint
build_pairwise_names    Build pairwise TIRT-style variable names for
                        model estimation
build_target_dist       Create Target Pair Distribution for Scale-Level
                        Fit
cal_block_energy        Fast Calculation of Item Block "Energy"
cal_block_energy_with_iia
                        Fast Calculation of Item Block "Energy" with
                        Inter-Item Agreement
convert_comp_to_log     Convert Compositional Points Data to Log-Ratios
convert_maxdiff_to_pairwise
                        Convert MaxDiff Blocks into Pairwise Binary
                        Outcomes
convert_mole_to_pairwise
                        Convert Most/Least (MOLE) Survey Data into
                        Pairwise Binary Outcomes
convert_pick_to_pairwise
                        Convert PICK Blocks into Pairwise Binary
                        Outcomes
convert_ranks_to_pairwise
                        Convert Ranked Blocks into Pairwise Binary
                        Outcomes
create_blueprint_template
                        Generate a Blueprint Template for Forced-Choice
                        Scales
empirical_reliability   Empirical Reliability Estimates
extract_adjacent_pairs_stan
                        Extract Only Adjacent Rank Pairs for Stan
                        (Heister et al., 2025)
extract_tirt_stan_scores
                        Extract Trait Scores and SEs from a Fitted Stan
                        TIRT Model
facfun                  Function for Checking If All Items in a Vector
                        Are Unique
generate_cfc_lavaan_syntax
                        Generate lavaan Syntax for Compositional
                        Forced-Choice (CFC) Models
generate_cfc_mplus_syntax
                        Generate Mplus Syntax for Compositional
                        Forced-Choice (CFC) Models
generate_gfc_lavaan_syntax
                        Generate lavaan Syntax for Graded Forced-Choice
                        (GFC) Models
generate_gfc_mplus_syntax
                        Generate Mplus Syntax for Graded Forced-Choice
                        (GFC) Models
generate_tirt_lavaan_syntax
                        Generate lavaan Syntax for Thurstonian Models
generate_tirt_mplus_syntax
                        Generate Mplus Syntax for Thurstonian IRT
                        (TIRT) or Thurstonian Factor Model (TFM)
generate_tirt_stan_syntax
                        Generate Stan Syntax and Data for TIRT Models
get_CFA_estimates       Conduct Confirmatory Factor Analysis (CFA) and
                        Obtain Parameter Estimates
get_iia                 Helper Function for Outputting IIA
                        Characteristics of Each Block
get_simulation_matrices
                        Generate Simulated Person and Item Parameter
                        Matrices for the TIRT Model
make_random_block       Construction of Random Item Blocks
optimize_blocks         Automatic Item Pairing Method in Forced-Choice
                        Test Construction
plot_scores             Scatter Plot for True vs Estimated Scores, True
                        Score vs Absolute Error, etc.
predict_cfc_stan        Predict New Scores using a Fitted Stan CFC
                        Model
predict_gfc_stan        Predict New Scores using a Fitted Stan GFC
                        Model
predict_tirt_stan       Predict Trait Scores for New Data using a
                        Fitted Stan Model
prepare_cfc_stan_data   Prepare Compositional Forced-Choice (CFC) Data
                        for Stan
prepare_gfc_stan_data   Prepare Graded Forced-Choice (GFC) Data for
                        Stan
prepare_tirt_stan_data
                        Prepare pairwise list data for Stan
score_cfc_lavaan        Full-Information Closed-Form Trait Scoring for
                        Compositional FC Models
score_cfc_mplus         Fast Trait Scoring for Mplus CFC Models
score_cfc_stan          Run Stan CFC Model and Extract Formatted Scores
score_gfc_lavaan        Trait Scoring for Graded Forced-Choice (GFC)
                        Models
score_gfc_mplus         Fast Trait Scoring for Mplus GFC Models
score_gfc_stan          Run Stan GFC Model and Extract Formatted Scores
score_tirt_ipsative     Calculate Classical Ipsative (Sum) Scores for
                        Forced-Choice Measures
score_tirt_lavaan       Fast, Analytical Trait Scoring for Second-Order
                        TIRT using optim()
score_tirt_mplus        Fast Analytical Trait Scoring for Mplus
                        TIRT/TFM Models
score_tirt_stan         Run Stan TIRT Model and Extract Formatted
                        Scores
simulate_fc_data        Generate Observed Forced-Choice Responses from
                        Latent Utilities
summarize_trait_pairs   Summarize Trait and Keying Pairs in a
                        Constructed Forced-Choice Test
