Description Usage Arguments Value Examples
Builds kinn regression model
1 | kinn.train(f, data, pre.process = T)
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f |
formula in the form y~x1+x2+... |
data |
dataframe which contains training data |
pre.process |
boolean flag which cluster data by density distributions |
kinn model object
1 2 3 4 5 6 | library(kinn)
x<-runif(100,min = 0,max=10)
e<-rnorm(100)
y<-2*x+3+e
df<-data.frame(x,y)
model=kinn.train("y~x",df)
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