RegKer: Function to do kernel regression
In pabloramses/kernelreg: Kernel Smoothing using Nadaraya-Watson estimator

Description Usage Arguments Value Author(s) Examples

View source: R/functions.R

Performs kernel regression using the Naraya-Watson estimator with the specified kernel and bandwidth

1	RegKer(x,X,Y,ker,h)

`x`	the point (or points) where we want to estimate Y value
`X`	sample of X
`Y`	sample of Y
`Ker`	kernel function to use
`h`	bandwith

vector containing the predictions for x

Pablo Ramsés Alonso Martín

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as

{x1<-rnorm(10,0,1); y1<-exp(x1) + rnorm(100,0,0.2)
RegKer(0,x1,y1,function(x){x^2},0.1)
  }