simu_func: The simulation function for low/high dimensional space.
In changwn/RMR: Robust Mixture Regression
simu_func R Documentation
The simulation function for low/high dimensional space.
Description
The simulation function for low/high dimensional space.
Usage
simu_func(beta, sigma, alpha = NULL, n = 400)
Arguments
beta
The slope vector for low dimensional space or matrix for high dimensional space.
sigma
A vector whose k-th element is the standard deviation for the k-th regression component.
alpha
The parameter to control the number of outliers for low dimensional space.
n
The sample number for high dimensional data.
Value
A list object.
changwn/RMR documentation built on March 29, 2025, 3:15 p.m.
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| simu_func | R Documentation |
The simulation function for low/high dimensional space.
Description
The simulation function for low/high dimensional space.
Usage
simu_func(beta, sigma, alpha = NULL, n = 400)
Arguments
beta |
The slope vector for low dimensional space or matrix for high dimensional space. |
sigma |
A vector whose k-th element is the standard deviation for the k-th regression component. |
alpha |
The parameter to control the number of outliers for low dimensional space. |
n |
The sample number for high dimensional data. |
Value
A list object.
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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