iccplot: Item Characteristic Curve

Description Usage Arguments Details Author(s) See Also Examples

View source: R/iccplot.R

Description

The item characteristic curve is performed for the multidimensional polytomous Rasch model or the continuous Rating Scale Model.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
## S3 method for class 'CRSM'
iccplot(object, items = "all", ...)

## S3 method for class 'DRM'
iccplot(object, items = "all", ...)

## S3 method for class 'MPRM'
iccplot(object, items = "all", ...)

iccplot(object, ...)

Arguments

object

Object of class CRSM for ICC of the CRSM or object of class MPRM for ICC plot of the MPRM or object of class DRM for ICC plot of the DRM

items

Character vector "all" to display ICC curves for all items. By entering a numeric vector, a subset of items can be chosen for which ICC plots are drawn.

...

...

Details

The item characteristic curve (ICC) plots the response probability depending on person and item parameter. For plotting the ICC, the object resulting from MPRM MPRM or CRSM CRSM or DRM DRM is the input for the iccplot function. The default argument items="all" displays ICC curves for all items in the object. With a numeric vector items, a subset of items can be selected for which ICC plots are displayed.

Author(s)

Christine Hohensinn

See Also

MPRM CRSM DRM

Examples

1
2
3
4
5
6
#estimate CRSM for the first three items
data(analog)
res_cr <- CRSM(extraversion, low=-10, high=10)

#ICC plot
iccplot(res_cr)

pcIRT documentation built on May 1, 2019, 11:09 p.m.