Skip to content
No description, website, or topics provided.
Branch: public
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
papers
shared/functions
.gitignore
.gitignore~
README

README

This repository contains the analysis, figures, text and tables for the manuscript *Developing Constraint in Bayesian Mixed Models* submitted by Julia Haaf and Jeff Rouder.

The manuscript is written in RMarkdown using the following packages:
R (3.3.1, R Core Team, 2016) and the R-packages abind (1.4.3, Plate & Heiberger, 2015), BayesFactor (0.9.12.2, Morey & Rouder, 2015), coda (0.18.1, Plummer, Best, Cowles, & Vines, 2006), curl (0.9.7, Ooms, 2016), devtools (1.11.1, Wickham & Chang, 2016), fields (8.4.1, Douglas Nychka, Reinhard Furrer, John Paige, & Stephan Sain, 2015), gmm (1.5.2, Chaussé, 2010), maps (3.1.1, Richard A. Becker, Ray Brownrigg. Enhancements by Thomas P Minka, & Deckmyn., 2016), MASS (7.3.45, Venables & Ripley, 2002), Matrix (1.2.6, Bates & Maechler, 2016), MCMCpack (1.3.6, Martin, Quinn, & Park, 2011), msm (1.6.1, Jackson, 2011), mvtnorm (1.0.5, Genz & Bretz, 2009; Wilhelm & G, 2015), papaja (0.1.0.9074, Aust & Barth, 2015), plotrix (3.6.1, Lemon, 2006), sandwich (2.3.4, Zeileis, 2004, 2006), spam (1.3.0, Furrer & Sain, 2010; Gerber & Furrer, 2015), spatialfil (0.15, Dinapoli & Gatta, 2015), and tmvtnorm (1.4.10, Wilhelm & G, 2015)

Once the packages are installed you can simply open "papers/pmSubmitted/draft1.Rmd" and knit it. This will produce the manuscript exactly as we submitted it.

*NOTE:* Knitting the manuscript may take a while, because it generated new MCMC chains using the Bayes-foctor package for several data sets and models.
You can’t perform that action at this time.