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JAGS
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Review

JAGS

Overview
Synopsis

JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS.

Category

Statistical Software Free

Features

• Cross-platform engine for the BUGS language
• Extensible, allowing users to write their own functions, distributions, and samplers.
• Platform for experimentation with ideas in Bayesian modeling

License

Proprietary

Price

• Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

JAGS

What is best?

• Cross-platform engine for the BUGS language
• Extensible, allowing users to write their own functions, distributions, and samplers.
• Platform for experimentation with ideas in Bayesian modeling

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.5
6.4
Features & Functionality
7.6
Advanced Features
7.4
Integration
7.4
Performance
7.5
Training
Customer Support
7.6
Implementation
Renew & Recommend
Bottom Line

Jags is considered as another type of Gibbs sampler, this program enables the user to obtain an analysis of Bayesian hierarchical models using Markov chain Monte Carlo simulation

7.5
Editor Rating
6.4
Aggregated User Rating
1 rating
You have rated this

Jags is considered as another type of Gibbs sampler, this program enables the user to obtain an analysis of Bayesian hierarchical models using Markov chain Monte Carlo simulation. Unlike BUGS, JAGS was written mainly with three main motives: To have a cross-platform engine for the BUGS language also it was created To be extensible, allowing users to write their own functions, distributions, and samplers. Lastly JAGS was created To be a platform for experimentation with ideas in Bayesian modeling. JAGS licensing is based under the general public license version 2 which allows the members to freely redistribute and modify this tool but under certain conditions. The latest version of JAGS includes a new manual which mainly benefits people coming in for JAGS tutorials. Version 4.2.0 was released on February 19, 2016. One of the important changes in this release 3.3.0 of R is the use of a new toolchain for Windows. Unfortunately, for packages written in C++, the new toolchain is incompatible with the old one. So I had to build a new version of JAGS for use with R 3.3.0 and above. When you upgrade to R 3.3.0 or higher you will need to remove the currently installed version of JAGS (using the Control Panel) and run the JAGS-4.2.0-Rtools33.exe installer. Then you will be able to install the binary rjags package from CRA. This is considered important because when you install JAGS that does not match your typical R installation, then the rjags package will crash because the R tools compiler always creates binaries that are statically linked to the C++ runtime.

JAGS
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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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