R: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests

# Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests

## Documentation for package ‘autoFC’ version 1.0.0.1100

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

## Help Pages

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
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
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
HEXACO_example_data | Example HEXACO Response Data
make_random_block | Construction of Random Item Blocks
MOLE_data | Actual Response to FC scales in MOLE format
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
RMSE_range | Calculate Overall or Binned RMSE of Trait Scores
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