fit.submodel: Compute the fit of a submodel
In hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection
fit.submodel R Documentation
Compute the fit of a submodel
Description
Compute the fit of a submodel
Usage
fit.submodel(x, sigma2, mu, chosen, xt, yt, logistic)
Arguments
x
Design matrix.
sigma2
Residual variance (1 for logistic regression).
mu
Matrix of fitted values for the full model.
chosen
Vector of indices of the columns of x in the current submodel.
xt
Design matrix for test data.
yt
Outcome variable for test data.
logistic
Set to TRUE for a logistic regression model.
hsstan documentation built on June 22, 2024, 12:19 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.
| fit.submodel | R Documentation |
Compute the fit of a submodel
Description
Compute the fit of a submodel
Usage
fit.submodel(x, sigma2, mu, chosen, xt, yt, logistic)
Arguments
x |
Design matrix. |
sigma2 |
Residual variance (1 for logistic regression). |
mu |
Matrix of fitted values for the full model. |
chosen |
Vector of indices of the columns of |
xt |
Design matrix for test data. |
yt |
Outcome variable for test data. |
logistic |
Set to |
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.