vcov_scaling_fn: Delta-method covariance matrix of the scaling functions
In aiDIF: Differential Item Functioning for AI-Scored Assessments
View source: R/robust_engine.R
vcov_scaling_fn R Documentation
Delta-method covariance matrix of the scaling functions
Description
Delta-method covariance matrix of the scaling functions
Usage
vcov_scaling_fn(mle, theta = NULL, scale_by = "pooled")
Arguments
mle
A validated mle list.
theta
Optional scalar evaluated under H0.
scale_by
Passed to gradient function.
Value
A square matrix of size
n_items * n_thresholds.
aiDIF documentation built on April 22, 2026, 1:10 a.m.
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View source: R/robust_engine.R
| vcov_scaling_fn | R Documentation |
Delta-method covariance matrix of the scaling functions
Description
Delta-method covariance matrix of the scaling functions
Usage
vcov_scaling_fn(mle, theta = NULL, scale_by = "pooled")
Arguments
mle |
A validated mle list. |
theta |
Optional scalar evaluated under H0. |
scale_by |
Passed to gradient function. |
Value
A square matrix of size
n_items * n_thresholds.
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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