Contents
How does WinBUGS work?
WinBUGS is a Bayesian analysis software that uses Markov Chain Monte Carlo (MCMC) to fit statistical models. WinBUGS can be used in statistical problems as simple as estimating means and variances or as complicated as fitting multilevel models, measurement error models, and missing data models.
How do I run codes in WinBUGS?
Click: File -> Open in the WinBUGS menus. Navigate to your text file containing the WinBUGS code and select and open it. A window with the code should pop up within WinBUGS.
What does WinBUGS stand for?
WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods. It is based on the BUGS (Bayesian inference Using Gibbs Sampling) project started in 1989. It runs under Microsoft Windows, though it can also be run on Linux or Mac using Wine.
How do I use WinBUGS in R?
To run WinBugs from R Prepare the inputs to the “bugs” function and run it (see example below). A WinBugs14 window will pop up and R will freeze up. The model will now run in WinBugs. It might take awhile.
What is a stochastic node?
Stochastic nodes. These nodes specify a random variable through a distribution conditional on their parents. In the above graph this is true for the y node, and the circle mirrors the notation used in directed graphical models.
Which is an example of a model in WinBugs?
Section 3.4.7: An example of a complete model specification in WinBUGS; see page 107. Dataset: simulated normal data. Download: WinBUGS code(including data); see Section 3.4.7, pages 107-108. Chapter 4 Section 4.1: A complete example of running MCMC in WinBUGS for a simple model; see page 125.
Which is an example of MCMC in WinBugs?
Section 4.1: A complete example of running MCMC in WinBUGS for a simple model; see page 125. Dataset: Kobe Bryant’s field goals in NBA (see example 1.4). Download: WinBUGS code(including data); see Section 4.1, pages 125-127.
How to do a diagnostic plot in WinBugs?
Download: R code File 1: MCMC. File 2: Diagnostic plots. Chapter 3 Section 3.4.7: An example of a complete model specification in WinBUGS; see page 107. Dataset: simulated normal data. Download: WinBUGS code(including data); see Section 3.4.7, pages 107-108. Chapter 4
How to create a normal regression in WinBugs?
Model: Normal regression Download: Data [in text format] WinBUGS code (including data) File 1: regression model using independent normal prior distributions; see Section 5.2.4, Tables 5.2-5.3, pages 158-159. File 2: regression model using Zellner’s g-prior; see Section 5.3.4, Tables 5.5, page 165.