DGP: DGP: data generation

In ChingChuan-Chen/milr: Multiple-Instance Logistic Regression with LASSO Penalty

DGP: data generation

Description

Generating the multiple-instance data set.

Usage

DGP(n, m, beta)

Arguments

n	an integer. The number of bags.
m	an integer or vector of length n. If m is an integer, each bag has the identical number of instances, m. If m is a vector, the ith bag has m[i] instances.
beta	a vector. The true regression coefficients.

Value

a list including (1) bag-level labels, Z, (2) the design matrix, X, and (3) bag ID of each instance, ID.

Examples

data1 <- DGP(50, 3, runif(10, -5, 5))
data2 <- DGP(50, sample(3:5, 50, TRUE), runif(10, -5, 5))

ChingChuan-Chen/milr documentation built on March 12, 2024, 10:22 a.m.