ldmult

Return the logarithm of the multinomial density function.

internal

Analyzes finite mixture models for various parametric and semiparametric settings.  This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands.  This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).

Derek S. Young

mixtools

Tools for Analyzing Finite Mixture Models

Derek Young

Tatiana Benaglia

Didier Chauveau

David Hunter

Kedai Cheng

Ryan Elmore

Thomas Hettmansperger

Hoben Thomas

Fengjuan Xuan

ldmult function

<dl> <dt>y</dt>
<dd>A vector of multinomial counts.</dd> <dt>theta</dt>
<dd>A vector of multinomial probabilities. May have same number of
 components as or one fewer component than <code>y</code>. In the latter case, 
 an extra component is appended so that theta sums to one.</dd></dl>

Arguments

Log-Density for Multinomial Distribution — ldmult

<dl>

 <dt>y</dt>
<dd>A vector of multinomial counts.</dd>

 <dt>theta</dt>
<dd>A vector of multinomial probabilities. May have same number of
 components as or one fewer component than <code>y</code>. In the latter case, 
 an extra component is appended so that theta sums to one.</dd>

</dl>

Log-Density for Multinomial Distribution

ldmult: Log-Density for Multinomial Distribution

Description

Usage

Value

Arguments

Details

See Also

Examples