Description Usage Arguments Author(s) Examples
This function will print some general information about the lsgl object
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lsgl object |
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Martin Vincent
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | set.seed(100) # This may be removed, it ensures consistency of the daily tests
## Simulate from Y=XB+E, the dimension of Y is N x K, X is N x p, B is p x K
N <- 100 #number of samples
p <- 25 #number of features
K <- 15 #number of groups
B<-matrix(sample(c(rep(1,p*K*0.1),rep(0, p*K-as.integer(p*K*0.1)))),nrow=p,ncol=K)
X<-matrix(rnorm(N*p,1,1),nrow=N,ncol=p)
Y<-X%*%B+matrix(rnorm(N*K,0,1),N,K)
lambda<-lsgl::lambda(X,Y, alpha=1, d = 25, lambda.min= 5, intercept=FALSE)
fit <-lsgl::fit(X,Y, alpha=1, lambda = lambda, intercept=FALSE)
# Print some information about the estimated models
fit
## Cross validation
fit.cv <- lsgl::cv(X, Y, alpha = 1, lambda = lambda, intercept = FALSE)
# Print some information
fit.cv
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