| .rotation_se_jacobian | R Documentation |
Forward-difference the warm-started re-rotation map A -> (rotated loadings, Phi) over the
unrotated loadings A to obtain the rotation Jacobians used by the analytic standard errors for
rotated loadings (se = "information" in efa_fit()). The full nrow(A) * ncol(A) finite-
difference loop runs in compiled code, re-solving the rotation from the converged transformation
T_init at each perturbation; the caller forms J V J' in R.
.rotation_se_jacobian(
A,
T_init,
method,
param,
normalize,
oblique,
eps,
general_col = 0L
)
A |
Numeric matrix. The unrotated loading matrix at the solution. |
T_init |
Numeric matrix. The converged transformation that warm-starts each re-rotation. |
method |
Character scalar. The criterion family: one of |
param |
Numeric scalar. The criterion's tuning argument ( |
normalize |
Logical scalar. Apply Kaiser normalization before rotation and reverse it after. |
oblique |
Logical scalar. Use the oblique (column-normalized) manifold; otherwise orthogonal. |
eps |
Numeric scalar. The forward-difference step on the loadings. |
general_col |
Integer scalar. For |
A named list with the Jacobian J_L (pk x pk), the re-rotated base_loadings, a
validity flag, and – when oblique – the Jacobian J_Phi (k^2 x pk) and base_Phi.
Jennrich, R. I. (1973). Standard errors for obliquely rotated factor loadings. Psychometrika, 38, 593-604.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.