CSMR_train: The train function of the CSMR algorithm.
In RobMixReg: Robust Mixture Regression
Description
Usage
Arguments
Value
Description
The train function of the CSMR algorithm.
Usage
1
CSMR_train(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.
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Description Usage Arguments Value
Description
The train function of the CSMR algorithm.
Usage
1 | CSMR_train(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.
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