Learn R Programming

lava (version 1.6.4)

confpred: Conformal prediction

Description

Conformal predicions

Usage

confpred(object, data, newdata = data, alpha = 0.05, mad, ...)

Arguments

object

Model object (lm, glm or similar with predict method) or formula (lm)

data

data.frame

newdata

New data.frame to make predictions for

alpha

Level of prediction interval

mad

Conditional model (formula) for the MAD (locally-weighted CP)

...

Additional arguments to lower level functions

Value

data.frame with fitted (fit), lower (lwr) and upper (upr) predictions bands.

Examples

Run this code
# NOT RUN {
set.seed(123)
n <- 200
x <- seq(0,6,length.out=n)
delta <- 3
ss <- exp(-1+1.5*cos((x-delta)))
ee <- rnorm(n,sd=ss)
y <- (x-delta)+3*cos(x+4.5-delta)+ee
d <- data.frame(y=y,x=x)

newd <- data.frame(x=seq(0,6,length.out=50))
cc <- confpred(lm(y~splines::ns(x,knots=c(1,3,5)),data=d), data=d, newdata=newd)
if (interactive()) {
plot(y~x,pch=16,col=lava::Col("black"),ylim=c(-10,10),xlab="X",ylab="Y")
with(cc,
     lava::confband(newd$x,lwr,upr,fit,
        lwd=3,polygon=TRUE,col=Col("blue"),border=FALSE))
}
# }

Run the code above in your browser using DataLab