LinRegChol {vglmer} | R Documentation |
Linear Regression by Cholesky
Description
Do linear regression of form solve(X^T O X + P, X^T y) where O is omega, P is precision.
Usage
LinRegChol(X, omega, prior_precision, y, save_chol = TRUE)
Arguments
X |
Design Matrix |
omega |
Polya-Gamma weights |
prior_precision |
Prior Precision for Regression |
y |
Outcome |
save_chol |
Save cholesky factor |
[Package vglmer version 1.0.6 Index]