update_sigma: Update variances in regularized maximum likelihood factor...
In dcgerard/succotashr: Surrogate and Confounder Correction Occuring Together with Adaptive Shrinkage
Description
Usage
Arguments
Value
Description
The is the update of the variances of the columns in the
regularized factor analysis.
Usage
1
update_sigma(Y, A, lambda = 0.01)
Arguments
Y
A matrix. This is the n by p data matrix.
A
A matrix. This the the n by p low rank mean
matrix.
lambda
A numeric. This is the tuning parameter. The MLE is
unbounded for lambda = 0.
Value
sig_diga The update for for the variances.
dcgerard/succotashr documentation built on May 15, 2019, 1:25 a.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.
Description Usage Arguments Value
Description
The is the update of the variances of the columns in the regularized factor analysis.
Usage
1 | update_sigma(Y, A, lambda = 0.01)
|
Arguments
Y |
A matrix. This is the |
A |
A matrix. This the the |
lambda |
A numeric. This is the tuning parameter. The MLE is unbounded for lambda = 0. |
Value
sig_diga The update for for the variances.
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.