generate_RLdata: Generate Roy, Larocque data

In AndrewjSage/RFLOWESS: A robust approach to random forest regression

Description

Function to generate data from simulations used in Roy & Larocque (2012)

Usage

generate_RLdata(ntrain, ntest, p, m, type = "Var", DGP = 1)

Arguments

ntrain	number of training cases to generate
ntest	number of test cases to generate
p	probability of coming from contaminating distribution
m	multiplier determining signal-to-noise ratio
type	should contamination be done to the variance or the mean
DGP	Which data generating process from Roy & Larocque (2012) should be used? Choices are 1 or 2.

Value

returns a list containing the training dataset, the test dataset, and an indicator of whether training cases came from contaminating distribution.

AndrewjSage/RFLOWESS documentation built on May 26, 2019, 6:38 a.m.