cluster.pre: Proportional Reduction in Error for Binary IRT Models
In davidaarmstrong/seqirt: Sequential Multi-dimensional Item Response Theory
Description
Usage
Arguments
Value
Description
Calculates the proportional reduction in error for
binary IRT models estimated with binIRT() from the
emIRT package. '
Usage
1
cluster.pre(obj, data, threshold)
Arguments
obj
Object of class binIRT.
data
The data used to estimate obj.
threshold
Threshold for PRE values - if all
PRE values are greater than the threshold, all
variables will be identified as in the same cluster.
Value
A list with the group for each variable in
cluster and the cluster number with the high PRE
values in high.clust.
davidaarmstrong/seqirt documentation built on Oct. 13, 2020, 8:36 p.m.
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Description Usage Arguments Value
Description
Calculates the proportional reduction in error for
binary IRT models estimated with binIRT() from the
emIRT package. '
Usage
1 | cluster.pre(obj, data, threshold)
|
Arguments
obj |
Object of class |
data |
The data used to estimate |
threshold |
Threshold for PRE values - if all PRE values are greater than the threshold, all variables will be identified as in the same cluster. |
Value
A list with the group for each variable in
cluster and the cluster number with the high PRE
values in high.clust.
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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