| estimate_kronecker_components | R Documentation |
Given a length-kG random-effects estimate
\hat\alpha = \mathrm{vec}_{\mathrm{col}}(M) (column-stacked,
M \in \mathbb R^{G \times k}) and the right-side covariance
Sigma_right, returns the weighted moment estimate
\hat\Sigma_{\mathrm{left}} =
\tfrac{1}{G}\, M^{\top}\, \Sigma_{\mathrm{right}}^{-1}\, M.
estimate_kronecker_components(alpha, n_groups, q_left = 2L, Sigma_right = NULL)
alpha |
Numeric vector of length |
n_groups |
Integer |
q_left |
Integer |
Sigma_right |
Optional |
This is unbiased under the Kronecker model
\alpha \sim N(0, \Sigma_{\mathrm{left}} \otimes
\Sigma_{\mathrm{right}}) when Sigma_right is correct.
When \hat\alpha is the BLUP rather than the true \alpha,
apply the EM-style correction in vcmm (handled
automatically by fit_ss / fit_csl).
Backwards-compatible alias: if q_left = 2 (the default), this is
the same estimator as the previous estimate_kronecker_components
for the OD setting.
A k \times k symmetric positive-definite matrix.
Jalili, L. and Lin, L.-H. (2025). Scalable and Communication-Efficient Varying Coefficient Mixed-Effects Models.
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