predict.gagam: Prediction from GAGAM

In markcus1/gagam: Genetic Algorithm for Generalized Additive Models

Description

Predict method for gagam objects.

Usage

## S3 method for class 'gagam'
predict(object, ..., newdata, reduc = NULL)

Arguments

object	gagam object (result of the gagam() function)
...	Any other arguments to pass to predict.gam.
newdata	Matrix or data frame with explanatory variables. The order of columns and their names must be the same as that used to construct the gagam object. If missing, the function extracts in-sample predictions.
reduc	If prediction should be from one of the reduced models, specify the index of reduction. Specify only one index at a time. Default is NULL.

Value

A vector of predictions.

Examples

N <- 1000
set.seed(123)
xdat2 <- matrix(rnorm(N*10,0,1),nrow=N,ncol=10)
ydat2 <- 4*xdat2[,1]+5*xdat2[,2]+6*xdat2[,3]+(xdat2[,4])^2 + 4 + rnorm(N,0,0.25)

xdat <- xdat2[1:500,]
ydat <- ydat2[1:500]

## Not run: 
example_gagam <- gagam(ydat,xdat,Kvar = 6,no_gen = 50)

## End(Not run)

xdat <- xdat2[501:1000,]
ydat <- ydat2[501:1000]

newdata <- as.data.frame(cbind(as.matrix(ydat),xdat))

## Not run: 
predict_gagam(example_gagam,newdata)

## End(Not run)

markcus1/gagam documentation built on April 16, 2020, 11:50 a.m.