probgrm: calculates item response probabilities according to GRM
In lordif: Logistic Ordinal Regression Differential Item Functioning using IRT
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Calculates a matrix of item response probabilities over a grid of theta values for an item
Usage
1
probgrm(theta, a, cb)
Arguments
theta
a vector of theta values (e.g., quadrature points)
a
a slope parameter value
cb
a vector of category threshold values
Details
The Graded Response Model (Samejima, 1969) is assumed.
Value
Returns a matrix of item response probabilities. The first dimension corresponds to the length of theta.
Author(s)
Seung W. Choi <choi.phd@gmail.com>
References
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 17.
See Also
Examples
1
lordif documentation built on May 2, 2019, 2:13 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Calculates a matrix of item response probabilities over a grid of theta values for an item
Usage
1 | probgrm(theta, a, cb)
|
Arguments
theta |
a vector of theta values (e.g., quadrature points) |
a |
a slope parameter value |
cb |
a vector of category threshold values |
Details
The Graded Response Model (Samejima, 1969) is assumed.
Value
Returns a matrix of item response probabilities. The first dimension corresponds to the length of theta.
Author(s)
Seung W. Choi <choi.phd@gmail.com>
References
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 17.
See Also
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.