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 generation, number of components, component weights and component parameters estimation, printing and plotting of finite mixtures, bootstrapping and class membership prediction. Variables can be either continuous or discrete, may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families and should be independent within components.

Marko Nagode

rebmix

Rough - Enhanced - Bayesian Finite Mixture Modeling

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