weights.joinet: Extract Weights

In joinet: Multivariate Elastic Net Regression

Description

Extracts coefficients from the meta learner, i.e. the weights for the base learners.

Usage

## S3 method for class 'joinet'
weights(object, ...)

Arguments

object	joinet object
...	further arguments (not applicable)

Value

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.

Examples

## 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)

joinet documentation built on Aug. 9, 2021, 9:13 a.m.