Automated Test Assembly for Multistage Tests Using Mixed-Integer Linear Programming


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Documentation for package ‘mstATA’ version 0.1.0

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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
BU13_panel Precomputed Bottom-up MST Assembly Example (BU13)
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
Hy13_panel Precomputed Hybrid MST Assembly Example
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
minimax_obj Minimize A Common Maximum Deviation From Target Goals
mini_itempool Example mini item pool for MST
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
Pi_internal Compute Item Response Category Probabilities and Derivatives
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)
Rmst_pool Item pool from Rmst for examples
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
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
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
TD123_panel Precomputed Top-Down MST Assembly Example (TD123)
TD12_panel Precomputed Top-Down MST Assembly Example (TD12)
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