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OpenBUGS

OpenBUGS is a software application for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. OpenBUGS is the open source variant of WinBUGS (Bayesian inference Using Gibbs Sampling). It runs under Microsoft Windows and Linux, as well as from inside the R statistical package. Versions from v3.0.7 onwards have…

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Explore the main themes, entities and connections around OpenBUGS. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
Developer
OpenBUGS Foundation
License
GNU General Public License
Operating system
Microsoft Windows, Unix/Linux & macOS (using Wine)
Original author
Andrew Thomas
Platform
Intel x86 - 32-bit

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Differences from WinBUGS

Programming language

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

OpenBUGS

Nodes32
Edges31
Triples40
Avg. degree1.94
Density0.0625
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

OpenBUGS

Top relations

related to Programming language · 14
OpenBUGS → Attempts, Binaries, Blackbox Component Framework, Component Pascal, Gardens Point Component Pascal, Installation, JAGS, Java, Linux, Microsoft Windows, Oberon Microsystems, OpenBUGS Bulletin Board, The, WINE
related to External links · 7
OpenBUGS → CambridgeSince, Future Developments, GitHub, Github/openbugs, Internet Archive, MultiBugs, University
related to Differences from WinBUGS · 5
OpenBUGS → Further, In, The, While WinBUGS, WinBUGS
is a · 2
OpenBUGS → open source variant of WinBUGS, software application for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo
Available in · 1
OpenBUGS → English
Developer · 1
OpenBUGS → OpenBUGS Foundation
License · 1
OpenBUGS → GNU General Public License
Operating system · 1
OpenBUGS → Microsoft Windows, Unix/Linux & macOS (using Wine)
Original author · 1
OpenBUGS → Andrew Thomas
Platform · 1
OpenBUGS → Intel x86 - 32-bit

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

winbugs source statistical using linux language microsoft windows code bayesian programming component pascal available website bugs software package development run

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
OpenBUGSAvailable inEnglish1.00infobox
OpenBUGSDeveloperOpenBUGS Foundation1.00infobox
OpenBUGSLicenseGNU General Public License1.00infobox
OpenBUGSOperating systemMicrosoft Windows, Unix/Linux & macOS (using Wine)1.00infobox
OpenBUGSOriginal authorAndrew Thomas1.00infobox
OpenBUGSPlatformIntel x86 - 32-bit1.00infobox
OpenBUGSRelease2005 (2005)1.00infobox
OpenBUGSRepositorywww.mrc-bsu.cam.ac.uk/software/bugs/openbugs/1.00infobox
OpenBUGSSize5.6 MB1.00infobox
OpenBUGSStable releasev3.2.3 / 8 March 2014; 12 years ago (2014-03-08)1.00infobox
OpenBUGSTypeStatistical package1.00infobox
OpenBUGSWritten inComponent Pascal1.00infobox
OpenBUGSis asoftware application for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo0.90text
OpenBUGSis aopen source variant of WinBUGS0.90text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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