simu_data_sparse: Simulate high dimension data for RBSL algorithm validation.
In RobMixReg: Robust Mixture Regression
Description
Usage
Arguments
Value
Description
Simulate high dimension data for RBSL algorithm validation.
Usage
1
simu_data_sparse(n, bet, pr, sigma)
Arguments
n
Patient number.
bet
The coefficient matrix.
pr
A vector of probability threshold which simulate the sampling based on uniform distribution.
sigma
A vector of noise level. The length should be equal to the component number.
Value
A list object consist of x, y, true cluster label.
RobMixReg documentation built on Aug. 5, 2020, 5:08 p.m.
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Description Usage Arguments Value
Description
Simulate high dimension data for RBSL algorithm validation.
Usage
1 | simu_data_sparse(n, bet, pr, sigma)
|
Arguments
n |
Patient number. |
bet |
The coefficient matrix. |
pr |
A vector of probability threshold which simulate the sampling based on uniform distribution. |
sigma |
A vector of noise level. The length should be equal to the component number. |
Value
A list object consist of x, y, true cluster label.
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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