summary.fullProcess | R Documentation |
Summary of a fullProcess
object
## S3 method for class 'fullProcess'
summary(object, ...)
object |
|
... |
Not used. |
fullProcess print.fullProcess
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)
# Apply MLGL method
res <- fullProcess(X, y)
summary(res)
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