mixregPvaryGen: Varying Proportion Mixture Data Generator

In MixSemiRob: Mixture Models: Parametric, Semiparametric, and Robust

Varying Proportion Mixture Data Generator

Description

‘mixregPvaryGen’ is used to generate a mixture of normal distributions with varying proportions:

Y|_{\boldsymbol{x},Z=z} \sim \sum_{c=1}^C\pi_c(z)N(\boldsymbol{x}^{\top}\boldsymbol{\beta}_c,\sigma_c^2).

See mixregPvary for details.

Usage

mixregPvaryGen(n, C = 2)

Arguments

n	number of observations.
C	number of mixture components. Default is 2.

Value

A list containing the following elements:

x	vector of length n.
y	vector of length n.
true_p	n by C matrix of probabilities of an observations belonging to each component.

See Also

mixregPvary

Examples

mixregPvaryGen(n = 100, C = 2)

MixSemiRob documentation built on Sept. 20, 2023, 9:06 a.m.