simu_data_sparse: The simulation function for validating CSMR algorithm.
In zcslab/CSMR: A novel supervised clustering algorithm using penalized mixture regression model
simu_data_sparse R Documentation
The simulation function for validating CSMR algorithm.
Description
The simulation function for validating CSMR algorithm.
Usage
simu_data_sparse(n, bet, pr, sigma)
Arguments
n
Objective number.
bet
Coefficient matrix.
pr
Probability for the objective mixtured in all samples.
sigma
The noise level.
Value
A list object consist of simulated data with ground truth.
zcslab/CSMR documentation built on Jan. 12, 2023, 7:39 a.m.
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| simu_data_sparse | R Documentation |
The simulation function for validating CSMR algorithm.
Description
The simulation function for validating CSMR algorithm.
Usage
simu_data_sparse(n, bet, pr, sigma)
Arguments
n |
Objective number. |
bet |
Coefficient matrix. |
pr |
Probability for the objective mixtured in all samples. |
sigma |
The noise level. |
Value
A list object consist of simulated data with ground truth.
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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