SL.wqs10: SLMix package

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

Usage

SL.wqs10(Y, X, newX, family, obsWeights, id, ...)

Arguments

Y
X
newX
family
obsWeights
id
...

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 (Y, X, newX, family, obsWeights, id, ...) 
{
    SL.wqs(Y, X, newX, family, obsWeights, id, n.quantiles = 10, 
        ...)
  }

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