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2005 Apr 14
1
LOCFIT: What's it doing?
...g what I want. I wrote the following example script: #----------------------------------------------------------------------------------------------------------------- # Plain Vanilla NADARAYA-WATSON estimator (or Local Constant regression, e.g. deg=0) # with gaussian kernel & fixed bandwidth mkern<-function(y,x,h){ Mx <- matrix(x,nrow=length(y),ncol=length(y),byrow=TRUE) Mxh <- (1/h)*dnorm((x-Mx)/h) Myxh<- (1/h)*y*dnorm((x-Mx)/h) yh <- rowMeans(Myxh)/rowMeans(Mxh) return(yh) } # Generating the design Y=m(x)+e n <- 10 h <- 0.5 x <- rnorm(n) y <- x + rnorm(n,mean=0,...