print.logit.reg {CDLasso} | R Documentation |
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.
## S3 method for class 'logit.reg' print(x, ...)
x |
Output of logit.reg. Must be of class "logit.reg" |
... |
N/A |
print.logit.reg
produces selected output from logit.reg. For more output, see summary.logit.reg.
Edward Grant, Kenneth Lange, Tong Tong Wu
Maintainer: Edward Grant edward.m.grant@gmail.com
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.
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)