| Title |
Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example)
|
|---|---|
| Published in |
Behavior Research Methods, August 2013
|
| DOI | 10.3758/s13428-013-0369-3 |
| Pubmed ID | |
| Authors |
Dominik Wabersich, Joachim Vandekerckhove |
| Abstract |
We demonstrate how to add a custom distribution into the general-purpose, open-source, cross-platform graphical modeling package JAGS ("Just Another Gibbs Sampler"). JAGS is intended to be modular and extensible, and modules written in the way laid out here can be loaded at runtime as needed and do not interfere with regular JAGS functionality when not loaded. Writing custom extensions requires knowledge of C++, but installing a new module can be highly automatic, depending on the operating system. As a basic example, we implement a Bernoulli distribution in JAGS. We further present our implementation of the Wiener diffusion first-passage time distribution, which is freely available at https://sourceforge.net/projects/jags-wiener/ . |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 1% |
| Switzerland | 2 | 1% |
| Netherlands | 2 | 1% |
| United Kingdom | 2 | 1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Chile | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 116 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 32% |
| Researcher | 30 | 22% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 8 | 6% |
| Student > Bachelor | 6 | 4% |
| Other | 20 | 15% |
| Unknown | 14 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 47 | 35% |
| Agricultural and Biological Sciences | 14 | 10% |
| Mathematics | 8 | 6% |
| Neuroscience | 8 | 6% |
| Decision Sciences | 4 | 3% |
| Other | 23 | 17% |
| Unknown | 30 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2017.
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#8,535,472
of 25,374,917 outputs
Outputs from Behavior Research Methods
#1,037
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Outputs of similar age
#71,183
of 210,085 outputs
Outputs of similar age from Behavior Research Methods
#4
of 19 outputs
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