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irt (version 0.2.5)

Item Response Theory and Computerized Adaptive Testing Functions

Description

A collection of Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) functions that are used in psychometrics.

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Version

Install

install.packages('irt')

Monthly Downloads

311

Version

0.2.5

License

AGPL (>= 3)

Maintainer

Emre Gonulates

Last Published

November 9th, 2021

Functions in irt (0.2.5)

Rasch-class

Rasch model

as.data.frame.Response

Convert a Response-class object into a data.frame.

calculate_overlap_rates

Calculate overlap rate of items for CAT

calculate_exposure_rates

Calculate exposure rate of items for CAT

M3PL-class

Multidimensional Three-Parameter Logistic Model

dif

Evaluate Differential Item Functioning (DIF) of a test

distractor_analysis

Distractor Analysis Function

generate_ip

Generate a random Itempool object

est_bilog

Run BILOG-MG in batch mode

ipd

Item Parameter Drift

Testlet-class

An S4 class to represent a Testlet

PCM-class

Partial Credit Model

Response_set-class

An S4 class representing responses of a set of examinees

biserial

Calculate biserial correlation

mean,Item-method

Calculate the expected value of an Item

mean,Itempool-method

Calculate the expected value of an Itempool

irt

A Collection of Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) Functions

print.cat_design

Prints cat_design objects.

print.cat_output

This method prints an "cat_output" class object

c,Item-method

Concatenate Item, Itempool or Testlet objects and return an Itempool object.

show,Item-method

Show an Item-class object

M2PL-class

Multidimensional Two-Parameter Logistic Model

Itempool-class

An S4 class to represent an Itempool

as.data.frame.Response_set

Convert a Response_set-class object into a long format data.frame

as.list.Itempool

This function converts Itempool objects to a list object

$,Response-method

Get slots of the an Response-class object.

$,Response_set-method

Get slots of the a Response_set-class object.

$<-,Itempool-method

Set values to parameters or components of 'Itempool' class.

get_max_possible_total_score

Calculate the maximum score of a set of items

$<-,Response-method

Set values to components of 'Response' class objects

generate_resp_set

Generate a random item responses (Response_set object)

cat_sim

Computerized Adaptive Test (CAT) Simulation

cat_sim_fast

Computerized Adaptive Test (CAT) Simulation (Parallel Computing)

is.Item

Check whether an object is an Item-class

generate_testlet

Generate a random Testlet object

item_analysis

Item Analysis Function

item_fit

Calculate item-fit indices

info

Calculates the information of an "Item" object

as.Itempool

Coerce a given object to Itempool-class object

Item-class

An S4 class to represent an Item

GRM-class

Graded Response Model

$,Item-method

Get slots from an Item-class object.

add_misc

Add or change a named value to 'misc' slot of an Item-class, Itempool-class or Testlet-class object.

$,Testlet-method

Access slots of a Testlet-class object

print.Item

Print an Item-class object

point_biserial

Calculate point-biserial correlation

mean,Testlet-method

Calculate the expected value of an Testlet

person_fit

Calculate person-fit indices

item

Create an Item object

print,Itempool-method

Show an Itempool-class object

$<-,Item-method

Set values to parameters or components of Item-class object

as.list.Response_set

This function converts Response_set objects to a list object

print.bilog_output

Prints bilog_output objects

GPCM-class

Generalized Partial Credit Model

GPCM2-class

Reparametrized Generalized Partial Credit Model

as.matrix,Response_set-method

Convert a Response_set-class object into a matrix

generate_resp

Generate random item responses (Response object)

create_cat_design

Computerized Adaptive Test (CAT) Simulation Design

convert_model

Convert model parameters from one model to another

generate_item

Generate a random Item object

$,Itempool-method

Get slots of the an Itempool-class object.

plot_empirical_icc2

Plot Empirical Item Characteristic Curve

plot_empirical_icc

Plot Empirical Item characteristic curve

print,Response-method

Show an Response-class object

est_ability

Estimate Ability of Examinees

show.cat_output

This method shows an "cat_output" class object

.print.Testlet

Print a Testlet-class object

1PL-class

One-Parameter Logistic IRT model

4PL-class

Three-Parameter Logistic IRT model

plot_distractor_icc

Plot Empirical Item or Test characteristic curve

plot.ks_output

Plot Item Fit using Kernel-Smoothing

3PL-class

Three-Parameter Logistic IRT model

print,Response_set-method

Print a Response_set-class object

[[,Itempool,numeric,missing-method

Subset Itempool objects

[,Testlet,ANY,missing-method

Subset Testlet-class object

$<-,Response_set-method

Set values to components of 'Response_set' class objects

$<-,Testlet-method

Set values to parameters or components of 'Item' class.

score_info

Calculate Score Information Function

[[<-,Itempool,numeric,missing-method

Set the elements of an Itempool objects.

get_cat_administered_items

Get administered items from a CAT output

[[<-,Response_set,numeric,missing-method

Set the elements of an Response_set objects.

score_raw_resp

Score Raw Responses

2PL-class

Two-Parameter Logistic IRT model

summary.cat_output

Summarizes the raw output of cat_sim

Item Characteristic Curve Estimation using Kernel Smoothing

plot.Item

Plot Item Characteristic Curve of an Item object

itempool

Create an Itempool object

[,Response_set,ANY,missing-method

Subset Response_set objects

testlet

Creates a Testlet-class object

[[<-,Testlet,numeric,missing-method

This function sets the elements of a Testlet objects.

var,Item-method

Calculate the variance of an Item

get_cat_response_data

Extracts the response data of CAT output.

plot.Itempool

Plot Item Characteristic Curves or Test Characteristic Curve of an Itempool object

summary.list

If a list object consists of all "cat_output" objects, then it will run summary.cat_output.

var,Testlet-method

Calculate the variances of items in a Testlet

var,Itempool-method

Calculate the variances of items in an Itempool

resp_loglik

Log-likelihood of a Response String

sim_resp

Generate responses for a given model

response

Create a Response object from a vector of responses

[,Itempool,ANY,missing-method

Subset Itempool objects

length,Itempool-method

Find the length of an Itempool-class object

max_score

Calculate the maximum possible score

plot_info

Plot Item Information Function

plot_resp_loglik

Plot the Log-Likelihood of a response string

prob

Calculate the probability of a correct response

rsss

Convert raw score to scale score and vice versa

resp_lik

Likelihood of a response string

[[,Testlet,numeric,missing-method

Access the items of a Testlet-class object.

response_set

Create Response_set-class object

[[,Response_set,numeric,missing-method

Subset Response_set objects

Response-class

An S4 class representing responses of a single examinee

as.data.frame.Item

Convert an Item-class object into a data.frame.