summary.logit.reg {CDLasso} R Documentation

## Print all results of Cyclic Coordinate Descent for Logistic Regression

### Description

Print full summary of results of Cyclic Coordinate Descent for Logistic Regression.

### Usage

```## S3 method for class 'logit.reg'
summary(object, ...)
```

### Arguments

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

### Details

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

### Value

 `X` The design matrix. `Y` The outcome variable for cases. `cases` The number of cases `predictors` The number of predictors `lambda` The value of penalization parameter `lambda` used. `objective` The value of the objective function `residual` A vector of length `p` listing the residuals `estimate` The estimate of the coefficients `nonzeros` The number of "selected" variables included in the model. `selected` The name of the "selected" variables included in the model.

### 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.

`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
out<-logit.reg(x,y,lambda=50)

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

[Package CDLasso version 1.1 Index]