read_ai_scored: Validate and bundle paired human/AI parameter estimates
In aiDIF: Differential Item Functioning for AI-Scored Assessments
View source: R/read_functions.R
read_ai_scored R Documentation
Validate and bundle paired human/AI parameter estimates
Description
Takes two mle lists (one per scoring condition) and returns a validated
aidif_data object for use in fit_aidif.
Usage
read_ai_scored(human_mle, ai_mle)
Arguments
human_mle
An mle list for human-scored data. Must contain
est (a named list group.1, group.2 of
data.frames with columns a1, d1) and var.cov
(matching list of covariance matrices).
ai_mle
An mle list for AI-scored data in the same format.
Value
A list of class "aidif_data" with elements
human and ai.
See Also
fit_aidif, make_aidif_eg,
simulate_aidif_data
aiDIF documentation built on April 22, 2026, 1:10 a.m.
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View source: R/read_functions.R
| read_ai_scored | R Documentation |
Validate and bundle paired human/AI parameter estimates
Description
Takes two mle lists (one per scoring condition) and returns a validated
aidif_data object for use in fit_aidif.
Usage
read_ai_scored(human_mle, ai_mle)
Arguments
human_mle |
An mle list for human-scored data. Must contain
|
ai_mle |
An mle list for AI-scored data in the same format. |
Value
A list of class "aidif_data" with elements
human and ai.
See Also
fit_aidif, make_aidif_eg,
simulate_aidif_data
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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