apply_rotation_promax: Apply factor rotation to discrimination matrix and latent...
In ForceChoice: Forced-Choice Modeling Based on Item Response Theory and Cognitive Diagnostic Models
apply_rotation_promax R Documentation
Apply factor rotation to discrimination matrix and latent traits
Description
Supports "promax" (via stats::promax) and GPArotation
methods ("varimax", "oblimin", etc.). Transforms the
discrimination matrix a, the latent trait matrix theta,
and the correlation matrix Corr accordingly.
Usage
apply_rotation_promax(a, theta, Corr, rotate, D, promax_m = 4)
Arguments
a
I \times D discrimination (loading) matrix.
theta
N \times D latent trait matrix.
Corr
D \times D correlation matrix.
rotate
Rotation method name (character).
D
Number of dimensions.
promax_m
Power parameter for "promax" (default 4).
Value
A named list with components a, theta, Corr.
ForceChoice documentation built on Sept. 13, 2026, 1:06 a.m.
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| apply_rotation_promax | R Documentation |
Apply factor rotation to discrimination matrix and latent traits
Description
Supports "promax" (via stats::promax) and GPArotation
methods ("varimax", "oblimin", etc.). Transforms the
discrimination matrix a, the latent trait matrix theta,
and the correlation matrix Corr accordingly.
Usage
apply_rotation_promax(a, theta, Corr, rotate, D, promax_m = 4)
Arguments
a |
|
theta |
|
Corr |
|
rotate |
Rotation method name (character). |
D |
Number of dimensions. |
promax_m |
Power parameter for |
Value
A named list with components a, theta, Corr.
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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