ml.quantile.fn: SLMix packageml.quantile.fn

In alexpkeil1/SLmix: Extensions of Bayesian Kernel Machine Regression and Weighted Quantile Sums for prediction and integration with SuperLearner package

Usage

ml.quantile.fn(data, quantiles)

Arguments

data
quantiles

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 (data, quantiles) 
{
    q <- matrix(0, dim(data)[1], dim(data)[2])
    I <- dim(data)[2]
    for (i in 1:I) {
        q[, i] <- cut(data[, i], breaks = quantiles[, i], include.lowest = TRUE)
    }
    q <- q - 1
    return(q)
  }

alexpkeil1/SLmix documentation built on Aug. 15, 2020, 9:10 a.m.