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Extracts pooled coefficients. (The meta learners linearly combines the coefficients from the base learners.)
# S3 method for joinet coef(object, ...)
joinet object
further arguments (not applicable)
This function returns the pooled coefficients. The slot alpha contains the intercepts in a vector of length \(q\), and the slot beta contains the slopes in a matrix with \(p\) rows (inputs) and \(q\) columns.
alpha
beta
# 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) coef <- coef(object) # }
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