TestDesign

Calculate Relative Errors

Calculate Root Mean Squared Error

Run adaptive test assembly

Run fixed-form test assembly

Open TestDesign app

Open TestDesign app

Build constraints (shortcut to other loading functions)

Calculate expected scores

Calculate Fisher information

Calculate second derivative of log-likelihood

Calculate first derivative of log-likelihood

Calculate central location (overall difficulty)

Calculate log-likelihood

Calculate item response probabilities

Calculate the mutual information using full Bayesian

Calculate Fisher information (multiple items)

Calculate the Fisher information using empirical Bayes

Calculate the Fisher information using full Bayesian

Calculate likelihoods

Calculate a posterior value of theta

Calculate a posterior distribution of theta

Calculate a posterior value of theta for a single item

Check the consistency of constraints and item usage

Class 'constraint': a single constraint

Class 'constraints': a set of constraints

Basic operators for constraints objects

Create a config_Shadow object

Create a config_Static object

Bayes dataset

Fatigue dataset

Reading dataset

Science dataset

Compute expected a posteriori estimates of theta

Classify theta into segments

Print solution items

Retrieve constraints-related attributes from solution

Calculate Fisher information (single item)

Sample item parameter estimates from their posterior distributions

Item classes

Basic functions for item attribute objects

Class 'item_pool': an item pool

Basic operators for item pool objects

Class 'item_pool_cluster': an item pool

Create an item pool cluster object

Calculate hyperparameters for log-normal distribution

Load constraints

Load item attributes

Load item pool

Load set/stimulus/passage attributes

Calculate hyperparameters for logit-normal distribution

Generate a test object

Generate a test cluster object

Compute maximum likelihood estimates of theta

Compute maximum likelihood estimates of theta using fence items

Class 'output_Shadow': adaptive assembly solution for one simulee

Class 'output_Shadow_all': a set of adaptive assembly solutions

Class 'output_Static': fixed-form assembly solution

Calculate item response probability

Extension of plot() for objects in TestDesign package

(deprecated) Plot item exposure rates

(deprecated) Plot item/test/pool-level information

Extension of print() for objects in TestDesign package

Run Test Assembly

Save or print audit trails

Extension of show() for objects in TestDesign package

Simulate item response data

Basic functions for stimulus attribute objects

Summary classes

Extension of summary() for objects in TestDesign package

Class 'test': data for test assembly

Class 'test_cluster': data for test assembly

Basic operators for test objects

Calculate an EAP estimate of theta for one examinee

Calculate EAP estimates of theta for a group of examinees

Calculate theta estimates using EB (Empirical Bayes) method

Calculate a fully Bayesian estimate of theta for an examinee

Calculate a fully Bayesian estimate of theta for a single item

Toggle constraints