prediction_spd: prediction_spd
In mrparker909/MGLMRiem: Multivariate Generalized Linear Models on Riemannian Manifolds
View source: R/prediction_spd.R
Description
Given a base point p, a set of tangent vectors V, and covariates X, calculates Y. Used to transform model estimates p_hat, V_hat, X_hat into model predictions Y_hat.
Usage
1
prediction_spd(p, V, X)
Arguments
p
p is a base point (SPD maxtrix).
V
V is a set of tangent vectors (dxdxdim(X) symmetric matrices).
X
X is a set of covariates, dimX x N column vectors.
mrparker909/MGLMRiem documentation built on March 19, 2020, 3:37 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.
View source: R/prediction_spd.R
Description
Given a base point p, a set of tangent vectors V, and covariates X, calculates Y. Used to transform model estimates p_hat, V_hat, X_hat into model predictions Y_hat.
Usage
1 | prediction_spd(p, V, X)
|
Arguments
p |
p is a base point (SPD maxtrix). |
V |
V is a set of tangent vectors (dxdxdim(X) symmetric matrices). |
X |
X is a set of covariates, dimX x N column vectors. |
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.