dot-simulate: Data simulation

In rauschenberger/cornet: Elastic Net with Dichotomised Outcomes

Data simulation

Description

Simulates data for unit tests

Usage

.simulate(n, p, cor = 0, prob = 0.1, sd = 1, exp = 1, frac = 1)

Arguments

n	sample size: positive integer
p	covariate space: positive integer
cor	correlation coefficient : numeric between 0 and 1
prob	effect proportion: numeric between 0 and 1
sd	standard deviation: positive numeric
exp	exponent: positive numeric
frac	class proportion: numeric between 0 and 1

Details

For simulating correlated features (cor>0), this function requires the R package MASS (see mvrnorm).

Value

Returns invisible list with elements y and X.

Examples

data <- cornet:::.simulate(n=10,p=20)
names(data)

rauschenberger/cornet documentation built on Aug. 15, 2023, 4:14 a.m.