irt0.2.9 package

Item Response Theory and Computerized Adaptive Testing Functions

add_misc

Add or change a named value to 'misc' slot of an Item-class, `Itempo...

area_between_icc

Calculate the area between two ICC curves

as.data.frame.cat_output

Convert a cat_output object into a data.frame.

as.data.frame

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

as.data.frame.Response

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

as.data.frame.Response_set

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

as.Itempool

Coerce a given object to Itempool-class object

as.list.Itempool

This function converts Itempool objects to a list object

as.list.Response_set

This function converts Response_set objects to a list object

as.matrix-Response_set-method

Convert a Response_set-class object into a matrix

biserial

Calculate biserial correlation

c.cat_design

Concatenate 'cat_design' objects

c

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

calculate_exposure_rates

Calculate exposure rate of items for CAT

calculate_overlap_rates

Calculate overlap rate of items for CAT

cash-.cat_output

Prints the raw output of cat_sim

cash-Item-method

Get slots from an Item-class object.

cash-Itempool-method

Get slots of the an Itempool-class object.

cash-Response-method

Get slots of the an Response-class object.

cash-Response_set-method

Get slots of the a Response_set-class object.

cash-set-Item-method

Set values to parameters or components of Item-class object

cash-set-Itempool-method

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

cash-set-Response-method

Set values to components of 'Response' class objects

cash-set-Response_set-method

Set values to components of 'Response_set' class objects

cash-set-Testlet-method

Set values to parameters or components of Testlet-class object

cash-Testlet-method

Access slots of a Testlet-class object

cat_sim

Computerized Adaptive Test (CAT) Simulation

cat_sim_fast

Computerized Adaptive Test (CAT) Simulation (Parallel Computing)

classification_agreement_index

Calculate agreement index

classification_indices

Calculate classification accuracy and consistency

convert_model

Convert model parameters from one model to another

create_cat_design

Computerized Adaptive Test (CAT) Simulation Design

cusum_single

CUSUM based statistics for one examinee

dif

Evaluate Differential Item Functioning (DIF) of a test

distractor_analysis

Distractor Analysis Function

dot-print.Testlet

Print a Testlet-class object

equate_stuirt

IRT Scale Transformation using STUIRT Program

est_ability

Estimate Examinee Ability

est_bilog

Item Calibration via BILOG-MG

est_flexmirt

Unidimensional Item Calibration via flexMIRT

est_irtpro

Item Calibration via IRTPRO

est_winsteps

Estimate Rasch Model using Winsteps

generate_ip

Generate a random Itempool object

generate_item

Generate a random Item object

generate_resp

Generate random item responses (Response object)

generate_resp_set

Generate a random item responses (Response_set object)

generate_testlet

Generate a random Testlet object

get_cat_administered_items

Get administered items from a CAT output

get_cat_response_data

Extracts the response data of CAT output.

get_max_possible_total_score

Calculate the maximum score of a set of items

GPCM-class

Generalized Partial Credit Model

GPCM2-class

Reparameterized Generalized Partial Credit Model

GRM-class

Graded Response Model

info

Calculates the information of an "Item" object

ipd

Item Parameter Drift

irt-package

irt: Item Response Theory and Computerized Adaptive Testing Functions

irt1PL

One-Parameter Logistic IRT model

irt2PL

Two-Parameter Logistic IRT model

irt3PL

Three-Parameter Logistic IRT model

irt4PL

Three-Parameter Logistic IRT model

is

Check whether an object is an Item-class

Item-class

An S4 class to represent an Item

item

Create an Item object

item_analysis

Item Analysis Function

item_fit

Calculate item-fit indices

Itempool-class

An S4 class to represent an Itempool

itempool

Create an Itempool object

kappa_coef

Calculate Cohen's Kappa Coefficient

ks

Item Characteristic Curve Estimation using Kernel Smoothing

length

Find the length of an Itempool-class object

M2PL

Multidimensional Two-Parameter Logistic Model

M3PL

Multidimensional Three-Parameter Logistic Model

max_score

Calculate the maximum possible score

mean.Item

Calculate the expected value of an Item

mean.Itempool

Calculate the expected value of an Itempool

mean.Testlet

Calculate the expected value of an Testlet

PCM-class

Partial Credit Model

person_fit

Calculate person-fit indices

plot.cat_output

Plot progress of a CAT algorithm for one examinee

plot.Item

Plot Item Characteristic Curve of an Item object

plot.Itempool

Plot Item Characteristic Curves or Test Characteristic Curve of an `It...

plot.ks_output

Plot Item Fit using Kernel-Smoothing

plot_distractor_icc

Plot Empirical Item or Test characteristic curve

plot_empirical_icc

Plot Empirical Item characteristic curve

plot_empirical_icc2

Plot Empirical Item Characteristic Curve

plot_info

Plot Item Information Function

plot_resp_loglik

Plot the Log-Likelihood of a response string

point_biserial

Calculate point-biserial correlation

print-Item-method

Print an Item-class object

print-Itempool-method

Show an Itempool-class object

print-Response-method

Show an Response-class object

print-Response_set-method

Print a Response_set-class object

print.bilog_output

Prints bilog_output objects

print.cat_design

Prints cat_design objects.

print.cat_output

This method prints an "cat_output" class object

prob

Calculate the probability of a correct response

prob_sum_score

Calculate summed-score probabilities

qip_index

Calculate Quality of Item Pool Index

Rasch-class

Rasch model

resp_lik

Likelihood of a response string

resp_loglik

Log-likelihood of a Response String

Response-class

An S4 class representing responses of a single examinee

response

Create a Response object from a vector of responses

Response_set-class

An S4 class representing responses of a set of examinees

response_set

Create Response_set-class object

rmsd

Calculate Root Mean Square Deviation (RMSD) (or Root Mean Square Error...

rsss

Convert raw score to scale score and vice versa

score_info

Calculate Score Information Function

score_raw_resp

Score Raw Responses

show.cat_output

This method shows an "cat_output" class object

show

Show an Item-class object

sim_resp

Generate responses for a given model

sub-Itempool-ANY-missing-method

Subset Itempool objects

sub-sub-Itempool-numeric-missing-method

Subset Itempool objects

sub-sub-Response_set-numeric-missing-method

Subset Response_set objects

sub-sub-Testlet-numeric-missing-method

Access the items of a Testlet-class object.

sub-subset-Itempool-numeric-missing-method

Set the elements of an Itempool objects.

sub-subset-Response_set-numeric-missing-method

Set the elements of an Response_set objects.

sub-subset-Testlet-numeric-missing-method

This function sets the elements of a Testlet objects.

sub-Testlet-ANY-missing-method

Subset Testlet-class object

subset-response_set

Subset Response_set objects

summary.cat_output

Summarizes the raw output of cat_sim

summary.list

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

Testlet-class

An S4 class to represent a Testlet

testlet

Creates a Testlet-class object

var.Item

Calculate the variance of an Item

var.Itempool

Calculate the variances of items in an Itempool

var.Testlet

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.

  • Maintainer: Emre Gonulates
  • License: AGPL (>= 3)
  • Last published: 2024-02-20