weibullnormal

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

datasets

R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.

Marko Nagode

rebmix

Finite Mixture Modeling, Clustering & Classification

weibullnormal function

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

weibullnormal: Weibull-normal Simulated Dataset

Description

Usage

Arguments

format

Examples