Compute the group size weight vector with an authorized maximal size
computeGroupSizeWeight(hc, sizeMax = NULL)
output of hclust
maximum size of cluster to consider
the weight vector
set.seed(42) # Simulate gaussian data with block-diagonal variance matrix containing 12 blocks of size 5 X <- simuBlockGaussian(50, 12, 5, 0.7) # Generate a response variable y <- X[, c(2, 7, 12)] %*% c(2, 2, -2) + rnorm(50, 0, 0.5) # use 20 as the maximal number of group hc <- hclust(dist(t(X))) w <- computeGroupSizeWeight(hc, sizeMax = 20) # Apply MLGL method res <- MLGL(X, y, hc = hc, weightSizeGroup = w)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.