hlrData

The data was part of the 2002 Educational Longitudinal Study (ELS), a survey of students from a large sample of schools across the United States. This dataset includes a population of schools as well as a population of students within each school.

datasets

A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include linear Gaussian systems, Gaussian and Normal-Inverse-Wishart conjugate structure, Gaussian and Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet conjugate structure, Dirichlet Process on positive integers, Dirichlet Process in general, Hierarchical Dirichlet Process ... Tasks include updating posteriors, sampling from posteriors, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See <https://chenhaotian.github.io/Bayesian-Bricks/> to get started.

Haotian Chen

bbricks

Bayesian Methods and Graphical Model Structures for Statistical
Modeling

hlrData function

A list of three elements:<dl class="dl-horizontal">
 <dt>mathScore</dt><dd>: numeric, the mathScore of each student</dd>
 <dt>socioeconomicStatus</dt><dd>: numeric, the socioeconomic status score of each student</dd>
 <dt>schoolID</dt><dd>: integer, the school ID of each student</dd>
</dl>

Format

Samples from a hierarchical linear model — hlrData

A list of three elements:<dl class='dl-horizontal'>
 <dt>mathScore</dt><dd>: numeric, the mathScore of each student</dd>
 <dt>socioeconomicStatus</dt><dd>: numeric, the socioeconomic status score of each student</dd>
 <dt>schoolID</dt><dd>: integer, the school ID of each student</dd>
</dl>

Last chance! 50% off unlimited learning

hlrData: Samples from a hierarchical linear model

Description

Usage

Arguments

Format

References