CSMR: The main function of the RBSL algorithm.
In RobMixReg: Robust Mixture Regression
Description
Usage
Arguments
Value
Description
The main function of the RBSL algorithm.
Usage
1
CSMR(x, y, nit, nc, max_iter)
Arguments
x
The matrix
y
The external supervised variable.
nit
xxx?
nc
The component number in the mixture model.
max_iter
The maximum iteration number.
Value
A list object consist of coefficient, clustering membership, data x, external variable y, predicted y based on regression model.
RobMixReg documentation built on Aug. 5, 2020, 5:08 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.
Description Usage Arguments Value
Description
The main function of the RBSL algorithm.
Usage
1 | CSMR(x, y, nit, nc, max_iter)
|
Arguments
x |
The matrix |
y |
The external supervised variable. |
nit |
xxx? |
nc |
The component number in the mixture model. |
max_iter |
The maximum iteration number. |
Value
A list object consist of coefficient, clustering membership, data x, external variable y, predicted y based on regression model.
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.