probab_GRM: Item response GRM probabilities
In cat.dt: Computerized Adaptive Testing and Decision Trees
Description
Usage
Arguments
Value
Author(s)
Description
Computes the probabilities of picking every possible response of an
specified item from the item bank for all evaluated ability levels
using the Graded Response Model
Usage
1
probab_GRM(item_par, nres)
Arguments
item_par
vector containing the item parameters. First component
is the alpha parameter and the next are the beta parameters
nres
number of possible item responses
Value
A matrix of response probabilities. Rows represent evaluated ability
levels and columns represent responses
Author(s)
Javier RodrÃguez-Cuadrado
cat.dt documentation built on March 31, 2021, 5:07 p.m.
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Description Usage Arguments Value Author(s)
Description
Computes the probabilities of picking every possible response of an specified item from the item bank for all evaluated ability levels using the Graded Response Model
Usage
1 | probab_GRM(item_par, nres)
|
Arguments
item_par |
vector containing the item parameters. First component
is the |
nres |
number of possible item responses |
Value
A matrix of response probabilities. Rows represent evaluated ability levels and columns represent responses
Author(s)
Javier RodrÃguez-Cuadrado
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.
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