LinRegChol: Linear Regression by Cholesky
In vglmer: Variational Inference for Hierarchical Generalized Linear Models
LinRegChol 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
vglmer documentation built on April 3, 2025, 6:07 p.m.
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.
| LinRegChol | 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 |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.