lambda.pert

Perturbs a set of mixing proportions by first scaling the
mixing proportions, then taking the logit of the scaled values,
perturbing them, and inverting back to produce a set of
new mixing proportions.

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

lambda.pert function

<dl> <dt>lambda</dt>
<dd>A vector of length k giving the mixing proportions which
 are to be perturbed.</dd> <dt>pert</dt>
<dd>A vector (possibly of length k-1) for which to perturb <code>lambda</code>.
 If the length is less than k, then values of the vector are recycled. If length
 is greater than k, then only the first k values are used.</dd></dl>

Arguments

Perturbation of Mixing Proportions — lambda.pert

<dl>

 <dt>lambda</dt>
<dd>A vector of length k giving the mixing proportions which
 are to be perturbed.</dd>

 <dt>pert</dt>
<dd>A vector (possibly of length k-1) for which to perturb <code>lambda</code>.
 If the length is less than k, then values of the vector are recycled. If length
 is greater than k, then only the first k values are used.</dd>

</dl>

Perturbation of Mixing Proportions

lambda.pert: Perturbation of Mixing Proportions

Description

Usage

Value

Arguments

Details

See Also

Examples