RanEffdata

<p>This data set was generated from a 2-component mixture of regressions with random effects.</p>

datasets

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

RanEffdata function

<p>This data set consists of a list with 100 25x3 matrices. 
    The first column is the response variable, the second column is a column of 1's and the last column is the
    predictor variable.</p>

Format

Simulated Data from 2-Component Mixture of Regressions with Random Effects — RanEffdata

Simulated Data from 2-Component Mixture of Regressions with Random Effects

RanEffdata: Simulated Data from 2-Component Mixture of Regressions with Random Effects

Description

Usage

Arguments

Format

See Also