glmgraph (version 1.0.3)

print.cv.glmgraph: print a glmgraph object

Description

Print a summary of the cv.glmgraph solution path information during cross validation

Usage

"print"(x, ...)

Arguments

x

fitted cv.glmgraph object

...

Other parameters to print

Details

The call prints the cvmat object from a fitted cv.glmgraph object. The call also prints the chosen regularization parameters lambda1 and lambda2 along with best cv.type(minimum "mse" or "mae" if family is "gaussian"; maximum "auc" or minimum "deviance" if family is "binomial") after cross validation.

References

Li Chen. Han Liu. Hongzhe Li. Jun Chen. (2015) glmgraph: Graph-constrained Regularization for Sparse Generalized Linear Models.(Working paper)

See Also

cv.glmgraph

Examples

 set.seed(1234)
 library(glmgraph)
 n <- 100
 p1 <- 10
 p2 <- 90
 p <- p1+p2
 X <- matrix(rnorm(n*p), n,p)
 magnitude <- 1
 A <- matrix(rep(0,p*p),p,p)
 A[1:p1,1:p1] <- 1
 A[(p1+1):p,(p1+1):p] <- 1
 diag(A) <- 0
 btrue <- c(rep(magnitude,p1),rep(0,p2))
 intercept <- 0
 eta <- intercept+X%*%btrue
 ### construct laplacian matrix from adjacency matrix
 diagL <- apply(A,1,sum)
 L <- -A
 diag(L) <- diagL
 ### gaussian
 Y <- eta+rnorm(n)
 cv.obj <- cv.glmgraph(X,Y,L)
 print(cv.obj)