predict.gaussian.edgenet {netReg} | R Documentation

## Predict method for gaussian edgenet fits

### Description

Predicts the estimated Y.hat values for a newdata design matrix X similar to the other predict methods, e.g. from glm and glmnet

### Usage

    ## S3 method for class 'gaussian.edgenet'
    predict(object, newdata = NULL, ...)

### Arguments

`object` | a fitted object of class gaussian.edgenet
`newdata` | a new (`m` x `p`)-dimensional design matrix with a variable number of observations `m`, but a constant number of co-variables `p`
`...` | further arguments

### Value

A (`m` x `q`)-dimensional matrix

### Examples

    ## Not run:
    X <- matrix(rnorm(100*10),100,10)
    G.X <- matrix(rpois(10*10,1),10)
    G.X <- t(G.X) + G.X
    diag(G.X) <- 0

    Y <- matrix(rnorm(100*10),100,10)
    fit <- edgenet(X=X, Y=Y, G.X=G.X, family="gaussian")
    pred <- predict(fit, X)

    ## End(Not run)

[Package netReg version 1.6.0 Index]