wleIRT: Compute Weighted Likelihood Estimate (WLE) and Standard Error...
In cdriveraus/bigIRT: Fits item response theory models to big data
wleIRT R Documentation
Compute Weighted Likelihood Estimate (WLE) and Standard Error (SE)
Description
Computes the WLE and SE for each subject and scale in a bigIRT model.
Usage
wleIRT(fit)
Arguments
fit
A bigIRT model fit object.
Value
A list containing two matrices. The first matrix contains the WLEs for each subject and scale. The second matrix contains the SEs for each subject and scale.
Examples
# Fit a bigIRT model
#fit <- bigIRT(data, itempars)
# Compute WLE and SE
#wleIRT(fit)
cdriveraus/bigIRT documentation built on Sept. 14, 2024, 5:42 a.m.
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| wleIRT | R Documentation |
Compute Weighted Likelihood Estimate (WLE) and Standard Error (SE)
Description
Computes the WLE and SE for each subject and scale in a bigIRT model.
Usage
wleIRT(fit)
Arguments
fit |
A bigIRT model fit object. |
Value
A list containing two matrices. The first matrix contains the WLEs for each subject and scale. The second matrix contains the SEs for each subject and scale.
Examples
# Fit a bigIRT model
#fit <- bigIRT(data, itempars)
# Compute WLE and SE
#wleIRT(fit)
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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