terr {TLIC}R Documentation

The terr function is to generate data based on different distributions.

Description

The terr function is to generate data based on different distributions.

Usage

terr(n, p, K, nr, alpha, sigma1, sigma2, beta, dist)

Arguments

n

is the total number of observations

p

is the number of variables

K

is the number of subsets

nr

is the number of outliers

alpha

is the significance level

sigma1

is a parameter related to the distribution

sigma2

is a parameter related to the distribution

beta

is a coefficient vector

dist

is the type of distribution

Value

A list containing the design matrix X and the response vector y

Examples

# Example usage of the terr function
n <- 100
p <- 5
K <- 3
nr <- 10
alpha <- 0.05
sigma1 <- 2
sigma2 <- 5
beta <- c(1, 2, 3, 4, 5)
dist <- "Student t Distribution"
result <- terr(n, p, K, nr, alpha, sigma1, sigma2, beta, dist)
X <- result$X
y <- result$y

[Package TLIC version 0.1 Index]