hard.rejection:

In musto101/wilcox_R: What the package does (short line)

Usage

hard.rejection(distances, p, beta = 0.9, ...)

Arguments

distances
p
beta
...

Examples

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

## The function is currently defined as
function (distances, p, beta = 0.9, ...) 
{
    d0 <- qchisq(beta, p) * median(distances)/qchisq(0.5, p)
    weights <- double(length(distances))
    weights[distances <= d0] <- 1
    weights
  }

musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.