Item Response Theory and Computerized Adaptive Testing Functions
Add or change a named value to 'misc' slot of an Item-class, `Itempo...
Calculate the area between two ICC curves
Convert a cat_output object into a data.frame.
Convert an Item-class object into a data.frame.
Convert a Response-class object into a data.frame.
Convert a Response_set-class object into a long format data.frame
Coerce a given object to Itempool-class object
This function converts Itempool objects to a list object
This function converts Response_set objects to a list object
Convert a Response_set-class object into a matrix
Calculate biserial correlation
Concatenate 'cat_design' objects
Concatenate Item, Itempool or Testlet objects and return an Item...
Calculate exposure rate of items for CAT
Calculate overlap rate of items for CAT
Prints the raw output of cat_sim
Get slots from an Item-class object.
Get slots of the an Itempool-class object.
Get slots of the an Response-class object.
Get slots of the a Response_set-class object.
Set values to parameters or components of Item-class object
Set values to parameters or components of 'Itempool' class.
Set values to components of 'Response' class objects
Set values to components of 'Response_set' class objects
Set values to parameters or components of Testlet-class object
Access slots of a Testlet-class object
Computerized Adaptive Test (CAT) Simulation
Computerized Adaptive Test (CAT) Simulation (Parallel Computing)
Calculate agreement index
Calculate classification accuracy and consistency
Convert model parameters from one model to another
Computerized Adaptive Test (CAT) Simulation Design
CUSUM based statistics for one examinee
Evaluate Differential Item Functioning (DIF) of a test
Distractor Analysis Function
Print a Testlet-class object
IRT Scale Transformation using STUIRT Program
Estimate Examinee Ability
Item Calibration via BILOG-MG
Unidimensional Item Calibration via flexMIRT
Item Calibration via IRTPRO
Estimate Rasch Model using Winsteps
Generate a random Itempool object
Generate a random Item object
Generate random item responses (Response object)
Generate a random item responses (Response_set object)
Generate a random Testlet object
Get administered items from a CAT output
Extracts the response data of CAT output.
Calculate the maximum score of a set of items
Generalized Partial Credit Model
Reparameterized Generalized Partial Credit Model
Graded Response Model
Calculates the information of an "Item" object
Item Parameter Drift
irt: Item Response Theory and Computerized Adaptive Testing Functions
One-Parameter Logistic IRT model
Two-Parameter Logistic IRT model
Three-Parameter Logistic IRT model
Three-Parameter Logistic IRT model
Check whether an object is an Item-class
An S4 class to represent an Item
Create an Item object
Item Analysis Function
Calculate item-fit indices
An S4 class to represent an Itempool
Create an Itempool object
Calculate Cohen's Kappa Coefficient
Item Characteristic Curve Estimation using Kernel Smoothing
Find the length of an Itempool-class object
Multidimensional Two-Parameter Logistic Model
Multidimensional Three-Parameter Logistic Model
Calculate the maximum possible score
Calculate the expected value of an Item
Calculate the expected value of an Itempool
Calculate the expected value of an Testlet
Partial Credit Model
Calculate person-fit indices
Plot progress of a CAT algorithm for one examinee
Plot Item Characteristic Curve of an Item object
Plot Item Characteristic Curves or Test Characteristic Curve of an `It...
Plot Item Fit using Kernel-Smoothing
Plot Empirical Item or Test characteristic curve
Plot Empirical Item characteristic curve
Plot Empirical Item Characteristic Curve
Plot Item Information Function
Plot the Log-Likelihood of a response string
Calculate point-biserial correlation
Print an Item-class object
Show an Itempool-class object
Show an Response-class object
Print a Response_set-class object
Prints bilog_output objects
Prints cat_design objects.
This method prints an "cat_output" class object
Calculate the probability of a correct response
Calculate summed-score probabilities
Calculate Quality of Item Pool Index
Rasch model
Likelihood of a response string
Log-likelihood of a Response String
An S4 class representing responses of a single examinee
Create a Response object from a vector of responses
An S4 class representing responses of a set of examinees
Create Response_set-class object
Calculate Root Mean Square Deviation (RMSD) (or Root Mean Square Error...
Convert raw score to scale score and vice versa
Calculate Score Information Function
Score Raw Responses
This method shows an "cat_output" class object
Show an Item-class object
Generate responses for a given model
Subset Itempool objects
Subset Itempool objects
Subset Response_set objects
Access the items of a Testlet-class object.
Set the elements of an Itempool objects.
Set the elements of an Response_set objects.
This function sets the elements of a Testlet objects.
Subset Testlet-class object
Subset Response_set objects
Summarizes the raw output of cat_sim
If a list object consists of all "cat_output" objects, then it will ru...
An S4 class to represent a Testlet
Creates a Testlet-class object
Calculate the variance of an Item
Calculate the variances of items in an Itempool
Calculate the variances of items in a Testlet
A collection of Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) functions that are used in psychometrics.