weights.joinet | R Documentation |
Extracts coefficients from the meta learner, i.e. the weights for the base learners.
## S3 method for class 'joinet'
weights(object, ...)
object |
joinet object |
... |
further arguments (not applicable) |
This function returns a matrix with
1+q
rows and q
columns.
The first row contains the intercepts,
and the other rows contain the slopes,
which are the effects of the outcomes
in the row on the outcomes in the column.
## Not run:
n <- 50; p <- 100; q <- 3
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
Y <- replicate(n=q,expr=rnorm(n=n,mean=rowSums(X[,1:5])))
object <- joinet(Y=Y,X=X)
weights(object)
## End(Not run)
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