weibullnormal

The dataset contains amplitudes and means simulated from a three component Weibull-normal mixture.

datasets

Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.

Marko Nagode

rebmix

Finite Mixture Modeling, Clustering & Classification

Branislav Panic

Jernej Klemenc

Simon Oman

weibullnormal function

<code>weibullnormal</code> is a data frame with 10000 rows and 2 variables (columns) named:<ol>
<li><code>Amplitude</code> continuous.</li>
<li><code>Mean</code> continuous.</li>
</ol>

Format

Author

Weibull-normal Simulated Dataset — weibullnormal

Weibull-normal Simulated Dataset

weibullnormal: Weibull-normal Simulated Dataset

Description

Usage

Arguments

Format

Author

Examples