print.cv.logit.reg {CDLasso} R Documentation

## Print results of Greedy Coordinate Descent for Logistic Regression

### Description

Print short summary of results of cross validation for Greedy Coordinate Descent for Logistric Regression.

### Usage

```## S3 method for class 'cv.logit.reg'
print(x, ...)
```

### Arguments

 `x` Output of cv.logit.reg. Must be of class "cv.logit.reg" `...` N/A

### Details

`print.cv.logit.reg` produces output from `cv.logit.reg`.

### Author(s)

Edward Grant, Kenneth Lange, Tong Tong Wu

Maintainer: Edward Grant edward.m.grant@gmail.com

### References

Wu, T.T., Chen, Y.F., Hastie, T., Sobel E. and Lange, K. (2009). Genome-wide association analysis by lasso penalized logistic regression. Bioinformatics, Volume 25, No 6, 714-721.

`cv.logit.reg`

### Examples

```set.seed(101)
n=250;p=50
beta=c(1,1,1,1,1,rep(0,p-5))
x=matrix(rnorm(n*p),p,n)
xb = t(x) %*% beta
logity=exp(xb)/(1+exp(xb))
y=rbinom(n=length(logity),prob=logity,size=1)

rownames(x)<-1:nrow(x)
colnames(x)<-1:ncol(x)
lam.vec = (0:15)*2

#K-fold cross validation
cv <- cv.logit.reg(x,y,5,lam.vec)
plot(cv)

#Lasso penalized logistic regression using optimal lambda
out<-logit.reg(x,y,cv\$lam.opt)

#Re-estimate parameters without penalization
out2<-logit.reg(x[out\$selected,],y,0)
out2\$estimate
```

[Package CDLasso version 1.1 Index]