/// <summary>
/// Estimates a new mixture model from a given set of observations.
/// </summary>
///
/// <param name="data">A set of observations.</param>
/// <param name="coefficients">The initial mixture coefficients.</param>
/// <param name="threshold">The convergence threshold for the Expectation-Maximization estimation.</param>
/// <param name="components">The initial components of the mixture model.</param>
/// <returns>Returns a new Mixture fitted to the given observations.</returns>
///
public static Mixture <T> Estimate(double[] data, double threshold, double[] coefficients, params T[] components)
{
var mixture = new Mixture <T>(coefficients, components);
mixture.Fit(data, new MixtureOptions(threshold));
return(mixture);
}
/// <summary>
/// Estimates a new mixture model from a given set of observations.
/// </summary>
///
/// <param name="data">A set of observations.</param>
/// <param name="coefficients">The initial mixture coefficients.</param>
/// <param name="components">The initial components of the mixture model.</param>
/// <returns>Returns a new Mixture fitted to the given observations.</returns>
///
public static Mixture <T> Estimate(double[] data, double[] coefficients, params T[] components)
{
var mixture = new Mixture <T>(coefficients, components);
mixture.Fit(data);
return(mixture);
}