model.compare: Simulation Program
In Kaiyuan-Carl-Duan/R-package-AutoLasso:
Description
Usage
Arguments
Author(s)
References
Examples
Description
The function returns a list of simulations that summary the biases, TPR, FPR, FDR, selected index, sigma2 bias of auto lasso method and lasso1 method.
Usage
1
model.fitting(x,N.sim=100,p.true=5,sigma.true,beta.true)
Arguments
x
Predicted variable
N.sim
Times of simulation
p.true
Number of active variables
sigma.true
True value of sigma
beta.true
True value of beta
Author(s)
Sujit K. Ghosh, Kaiyuan Duan, Guangjie Yu
References
A Fast Automatic Variable Selection Method for LinearRegression Model
Examples
1
model.fitting=function(x=x,N.sim=100,p.true=5,sigma.true=sigma.true,beta.true=beta.true)
Kaiyuan-Carl-Duan/R-package-AutoLasso documentation built on Dec. 18, 2021, 2:40 a.m.
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Description Usage Arguments Author(s) References Examples
Description
The function returns a list of simulations that summary the biases, TPR, FPR, FDR, selected index, sigma2 bias of auto lasso method and lasso1 method.
Usage
1 | model.fitting(x,N.sim=100,p.true=5,sigma.true,beta.true)
|
Arguments
x |
Predicted variable |
N.sim |
Times of simulation |
p.true |
Number of active variables |
sigma.true |
True value of sigma |
beta.true |
True value of beta |
Author(s)
Sujit K. Ghosh, Kaiyuan Duan, Guangjie Yu
References
A Fast Automatic Variable Selection Method for LinearRegression Model
Examples
1 | model.fitting=function(x=x,N.sim=100,p.true=5,sigma.true=sigma.true,beta.true=beta.true)
|
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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