Description Usage Arguments Author(s) References Examples
This program returns a graphical summary that contains Biases of all coefficients, Proportion of correct selection, Biases of active variables, and Biases of zero coefficient; a numerical summary of percentage of times each variables selected, TPR&FPR of different methods, Distribution of number of selected variables, Comparison between methods of number of active variables found, Biases of active variables, Relative Bias of sigma2, summary of overall miss classification, Real time used (subtract start time from completed) of Lasso Method and Auto Lasso Method directly.
1 | sim.study(n,N.sim,ratio,p.true,rho,cor.type,snr)
|
n |
Number of rows of generated data |
N.sim |
Times of simulation |
ratio |
Ratio is the proportion of the number of columns over that of the rows. |
p.true |
Number of active variables |
rho |
Correlation generate methods |
cor.type |
Different type of Sigma: Auto regressive, Compound symmetry |
snr |
Signal to noise ratio |
Sujit K. Ghosh, Kaiyuan Duan, Guangjie Yu
A Fast Automatic Variable Selection Method for LinearRegression Model
1 | sim.study(n=100,N.sim=100,ratio=0.5,p.true=5,rho=0,cor.type=1,snr=10)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.