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]