Solve for best non-decreasing fit using isotone regression (from the "isotone" package https://CRAN.R-project.org/package=isotone).

Source: R/isotone.R

Return a vector of length y that is a function of x (differs at must where x differs) obeying the same order constraints as x. This vector is picked as close to y (by square-distance) as possible.

solveNonDecreasing(varName, x, y, w = NULL)

Arguments

varName

character, name of variable
x

numeric, factor, or character input (not empty, no NAs).
y

numeric or castable to such (same length as x no NAs), output to match
w

numeric positive, same length as x (weights, can be NULL)

Value

isotonicly adjusted y (non-decreasing)

Details

Please see https://github.com/WinVector/vtreat/blob/main/extras/MonotoneCoder.md.

Examples


if(requireNamespace("isotone", quietly = TRUE)) {
   solveNonDecreasing('v', 1:3, c(1,2,1))
}

#> [1] 1.0 1.5 1.5