lm_proj: Compute projections of full predictors on to subspace of...
In hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection
lm_proj R Documentation
Compute projections of full predictors on to subspace of predictors
Description
Compute projections of full predictors on to subspace of predictors
Usage
lm_proj(x, fit, sigma2, indproj, is.logistic)
Arguments
x
Design matrix.
fit
Matrix of fitted values for the full model.
sigma2
Residual variance (1 for logistic regression).
indproj
Vector of indices of the columns of x that form the
projection subspace.
is.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.
| lm_proj | R Documentation |
Compute projections of full predictors on to subspace of predictors
Description
Compute projections of full predictors on to subspace of predictors
Usage
lm_proj(x, fit, sigma2, indproj, is.logistic)
Arguments
x |
Design matrix. |
fit |
Matrix of fitted values for the full model. |
sigma2 |
Residual variance (1 for logistic regression). |
indproj |
Vector of indices of the columns of |
is.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.