BU13_panel              Precomputed Bottom-up MST Assembly Example
                        (BU13)
Hy13_panel              Precomputed Hybrid MST Assembly Example
Pi_internal             Compute Item Response Category Probabilities
                        and Derivatives
Rmst_pool               Item pool from Rmst for examples
TD123_panel             Precomputed Top-Down MST Assembly Example
                        (TD123)
TD12_panel              Precomputed Top-Down MST Assembly Example
                        (TD12)
analytic_mst_classification
                        Analytic classification accuracy and
                        consistency for MST panels
analytic_mst_precision
                        Evaluate MST designs via recursive
                        score-distribution propagation
assembled_panel         Assemble Selected Items into MST panel
binary_minimax_panel    Precomputed MST Panel: Binary_Minimax
                        Formulation
capped_maximin_obj      Capped maximin objective
capped_maximin_panel    Precomputed MST Panel: Capped_Maximin
                        Formulation
check_comblock_feasibility
                        Feasibility check for a specified combination
                        of constraint blocks
check_singleblock_feasibility
                        Block-wise feasibility diagnostics for
                        infeasible mstATA models
compute_icc             Compute Item Characteristic Curves (ICC)
compute_iif             Compute Item Information Function (IIF) at
                        Target Theta Points
concat_enemy_sets       Concatenate Enemy Sets
create_enemy_sets       Create Enemy Pairs and Enemy Sets
create_pivot_stimulus_map
                        Create Pivot-Stimulus Mapping
dvlink_item_solution    Defining Solution-level Item Indicator
                        Variables and Generating Constraints for Item
                        Exposure Control Across Multiple Panels
enemyitem_exclu_con     Generate Pathway-Level Constraints to Prevent
                        Enemy Items from Appearing Together
enemystim_exclu_con     Generate Pathway-Level Constraints to Prevent
                        Enemy Stimuli from Appearing Together
expected_score          Expected score
gen_weight              Generate population weights over a specified
                        ability grid
get_attribute_val       Get Item Categorical/Quantitative Attribute
                        Value
goal_programming_obj    Minimize Deviations from Target Goals (Goal
                        Programming)
goal_programming_panel
                        Precomputed MST Panel: Goal_Programming
                        Formulation
inverse_tcc             Inverse test characteristic curve
itemcat_con             Generate Item-Level Constraints to Explicitly
                        Select or Not Select Specific Items
itemquant_con           Generate Item-Level Constraints Requiring
                        Quantitative Attributes to Satisfy Lower,
                        Upper, or Range Bounds (Not for Operational
                        Use)
joint_module_score_dist
                        Compute joint/cumulative score distribution
                        under routing
maximin_obj             Maximin objective (with optional overflow band)
maximin_panel           Precomputed MST Panel: Maximin Formulation
mini_itempool           Example mini item pool for MST
minimax_obj             Minimize A Common Maximum Deviation From Target
                        Goals
mixed_format_pool       Example Mixed-Format Item Pool for MST
module_score_dist       Module Score Distribution at One or More
                        Ability Values
mst_design              Create an mstATA_design Object
mst_structure_con       Construct MST Structural Constraints for an MST
                        Panel
multipanel_spec         Define a Multi-Panel mstATA Model
objective_term          Create a Single Linear Objective Term
onepanel_spec           Define a Single-Panel mstATA Model
panel_itemcat_con       Generate Panel-Level Constraints for the
                        Min/Exact/Max Number of Items from Specific
                        Categorical Levels
panel_itemreuse_con     Generate Panel-Level Constraints for Item Reuse
                        Across Modules/Pathways
panel_stimcat_con       Generate Panel-Level Constraints for the
                        Min/Exact/Max Number of Stimuli from Specific
                        Categorical Levels
plot_panel_tcc          Plot Test Category Probability Curves
plot_panel_tif          Plot Test Information Functions
plot_tif                Plot Test Information Functions
poly_itempool           Example Polytomous Item Pool for MST
print.mstATA_model      Print mstATA Model
reading_itempool        Reading Item Pool
reading_panel           Precomputed Stimulus-Based Assessment (MST
                        Assembly Example)
report_test_itemcat     Summarize Categorical Item Attributes in
                        Assembled MST Panels
report_test_itemquant   Summarize Quantitative Item Attributes in
                        Assembled MST Panels
report_test_tcc         Report Test Characteristic Curves (TCC)
report_test_tif         Report Test Information Functions (TIF)
single_obj              Maximize or Minimize a Single Objective Term
solution_itemcat_con    Generate Solution-Level Constraints for the
                        Min/Exact/Max Number of Unique Items from
                        Specific Categorical Levels
solution_itemcount_con
                        Generate Solution-Level Constraints for the
                        Number of Unique Items Selected Across Panels
solution_stimcat_con    Generate Solution-Level Constraints for the
                        Min/Exact/Max Number of Unique Stimuli in
                        Specified Categories
solution_stimcount_con
                        Generate Solution-Level Constraints on the
                        Number of Unique Stimuli Selected Across Panels
solve_model             Solve an ATA Model Using a Mathematical
                        Programming Solver
solve_with_slack        Solve An Infeasible mstATA Model Using
                        Block-level Slack Variables
stim_itemcat_con        Generate Itemset-Level Constraints for Minimum,
                        Exact, or Maximum Numbers of Stimulus-Linked
                        Items from Specific Categorical Levels
stim_itemcount_con      Generate Itemset-Level Constraints for the
                        Number of Selected Items
stim_itemquant_con      Generate Itemset-Level Constraints for
                        Minimum/Exact/Maximum Sum of Item Quantitative
                        Attribute Values
stimcat_con             Generate Stimulus-Level Constraints to
                        Explicitly Select or Not Select Specific
                        Stimuli in MST Panel Assembly
stimquant_con           Generate Stimulus-Level Constraints Requiring
                        Stimulus-Level Quantitative Attributes to Be
                        Greater Than, Less Than, or Within a Specified
                        Range
test_itemcat_con        Generate Module- or Pathway-Level Constraints
                        for the Minimum, Exact, or Maximum Number of
                        Items from Specific Categorical Levels
test_itemcat_range_con
                        Generate Module- or Pathway-Level Range
                        Constraints for the Number of Items from
                        Specific Categorical Levels
test_itemcount_con      Generate Module- or Pathway-Level Constraints
                        for the Number of Selected Items
test_itemquant_con      Generate Module/Pathway-Level Constraints on
                        the Sum of Item Quantitative Attributes
test_itemquant_range_con
                        Generate Module/Pathway-Level Range Constraints
                        for the Sum of Item Quantitative Attributes
test_rdp_con            Routing Decision Point Information Balance
                        Constraint
test_stimcat_con        Generate Module/Pathway-Level Constraints for
                        the Min/Exact/Max Number of Stimuli from
                        Specific Categorical Levels
test_stimcount_con      Generate Module/Pathway-Level Constraints for
                        the Number of Selected Stimuli
test_stimquant_con      Generate Module/Pathway-Level Constraints for
                        the Sum of Stimulus Quantitative Attributes
unary_minimax_panel     Precomputed MST Panel: Unary_Minimax
                        Formulation
weighted_sum_obj        Minimize or Maximize a Weighted Sum of Multiple
                        Objective Functions
weighted_sum_panel      Precomputed MST Panel: Weighted_Sum Formulation
