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R/biweight.R
In sprm: Sparse and Non-Sparse Partial Robust M Regression and Classification
biweight <- function(ty,M,c){
if (ty<=c){
w <- 0
} else if (ty>c & ty<M){
w <- (1-((ty-M)/(c-M))^2)^2
} else if (ty>=M){
w <- 1
}
}
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sprm documentation built on May 2, 2019, 9:57 a.m.
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biweight <- function(ty,M,c){
if (ty<=c){
w <- 0
} else if (ty>c & ty<M){
w <- (1-((ty-M)/(c-M))^2)^2
} else if (ty>=M){
w <- 1
}
}
Try the sprm package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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