Gdat

A dataset containing the count of fresh gopher shells by area.

datasets

Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:.
Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418,
Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>,
Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>,
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955,
Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034,
Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.

Samuel Thomas

hmclearn

Fit Statistical Models Using Hamiltonian Monte Carlo

Wanzhu Tu

Gdat function

A data frame with 30 rows and 7 variables:<dl class="dl-horizontal">
 <dt>Site</dt><dd>name of site</dd>
 <dt>year</dt><dd>years 2004, 2005, 2006</dd>
 <dt>shells</dt><dd>count of shells</dd>
 <dt>type</dt><dd>fresh water</dd>
 <dt>Area</dt><dd>area of the site</dd>
 <dt>density</dt><dd>estimated tortoise density</dd>
 <dt>prev</dt><dd>Seroprevalence to Mycoplasma agassizii</dd>
</dl>

Format

Count of Fresh Gopher Tortoise Shells — Gdat

A data frame with 30 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>Site</dt><dd>name of site</dd>
 <dt>year</dt><dd>years 2004, 2005, 2006</dd>
 <dt>shells</dt><dd>count of shells</dd>
 <dt>type</dt><dd>fresh water</dd>
 <dt>Area</dt><dd>area of the site</dd>
 <dt>density</dt><dd>estimated tortoise density</dd>
 <dt>prev</dt><dd>Seroprevalence to Mycoplasma agassizii</dd>
</dl>

Gdat: Count of Fresh Gopher Tortoise Shells

Description

Usage

Arguments

Format

References