sim_cmgnd: sim_cmgnd: Function to Simulate Univariate Constrained...

In cmgnd: Constrained Mixture of Generalized Normal Distributions

sim_cmgnd: Function to Simulate Univariate Constrained Mixtures of Generalized Normal Distributions

Description

Simulate univariate constrained mixture of generalized normal distribution models. Remeber to set the set.seed() before the function sim_cmgnd().

Usage

sim_cmgnd(
  n = 1000,
  pi = rep(0.5, 2),
  mu = c(1, 5),
  sigma = c(1, 1),
  nu = c(2, 2)
)

Arguments

n	A numeric value indicating the total number of observations to simulate.
pi	A numeric vector of the mixture weights \pi_k.
mu	A numeric vector of the location parameter \mu_k.
sigma	A numeric vector of the scale parameter \sigma_k.
nu	A numeric vector of the shape parameter \nu_k.

Value

sim_data	The simulated data.
sim_clus	The cluster indication of simulated data.

cmgnd documentation built on Aug. 8, 2025, 6:34 p.m.