print.logit.reg: Print results of Cyclic Coordinate Descent for Logistic...

In CDLasso: Coordinate Descent Algorithms for Lasso Penalized L1, L2, and Logistic Regression

Description

Print short summary of results of Cyclic Coordinate Descent for Logistic Regression. Includes number of cases and predictors, lambda used, estimate of coeffcients produced, the number of selected predictors, and the names of selected predictors.

Usage

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

Arguments

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

Details

print.logit.reg produces selected output from logit.reg. For more output, see summary.logit.reg.

Author(s)

Edward Grant, Kenneth Lange, Tong Tong Wu

Maintainer: Edward Grant [e-mail]

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.

See Also

summary.logit.reg

logit.reg

Examples

set.seed(1001)
n=500;p=5000
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)

#Lasso penalized logistic regression using optimal lambda
out<-logit.reg(x,y,50)
print(out)

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

CDLasso documentation built on May 1, 2019, 8:02 p.m.