PLS.binomial.GLM: Partial Least Squares-Generalized Linear Model (PLS-GLM)...
In PLSbiplot1: The Partial Least Squares (PLS) Biplot
Description
Usage
Arguments
Value
Author(s)
Description
Takes in a set of predictor variables and a set of response variables and gives the PLS-GLM parameters.
Usage
1
PLS.binomial.GLM(X, y, A, PLS_algorithm = NULL, eps = 1e-04, ...)
Arguments
X
A (NxP) predictor matrix
y
A (Nx1) Binomial-distributed response vector
A
The number of PLS components
PLS_algorithm
The mod.NIPALS algorithm
eps
Cut off value for convergence step
...
Other arguments. Currently ignored
Value
The PLS-GLM parameters of D=[X y]
Author(s)
Opeoluwa F. Oyedele and Sugnet Gardner-Lubbe
PLSbiplot1 documentation built on May 2, 2019, 9:41 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 Author(s)
Description
Takes in a set of predictor variables and a set of response variables and gives the PLS-GLM parameters.
Usage
1 | PLS.binomial.GLM(X, y, A, PLS_algorithm = NULL, eps = 1e-04, ...)
|
Arguments
X |
A (NxP) predictor matrix |
y |
A (Nx1) Binomial-distributed response vector |
A |
The number of PLS components |
PLS_algorithm |
The mod.NIPALS algorithm |
eps |
Cut off value for convergence step |
... |
Other arguments. Currently ignored |
Value
The PLS-GLM parameters of D=[X y]
Author(s)
Opeoluwa F. Oyedele and Sugnet Gardner-Lubbe
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.