mixregPvaryGen

`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 <code>mixregPvary</code> for details.

Various functions are provided to estimate parametric mixture models
(with Gaussian, t, Laplace, log-concave distributions, etc.) and
non-parametric mixture models. The package performs hypothesis tests
and addresses label switching issues in mixture models.
The package also allows for parameter estimation in mixture of regressions,
proportion-varying mixture of regressions, and robust mixture of regressions.

Suyeon Kang

MixSemiRob

Mixture Models: Parametric, Semiparametric, and Robust

Xin Shen

Weixin Yao

Sijia Xiang

Yan Ge

mixregPvaryGen function

<dl><dt>n</dt>
<dd>number of observations.</dd>
<dt>C</dt>
<dd>number of mixture components. Default is 2.</dd></dl>

Arguments

Varying Proportion Mixture Data Generator — mixregPvaryGen

<dl>

<dt>n</dt>
<dd>number of observations.</dd>


<dt>C</dt>
<dd>number of mixture components. Default is 2.</dd>

</dl>

mixregPvaryGen: Varying Proportion Mixture Data Generator

Description

Usage

Value

Arguments

See Also

Examples