BayesX: Analyzing Bayesian Structural Additive Regression Models

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收藏 2013-12-11

Authors:	Andreas Brezger, Thomas Kneib, Stefan Lang
Title:	[download] (8194)BayesX: Analyzing Bayesian Structural Additive Regression Models
Reference:	Vol. 14, Issue 11, Sep 2005Submitted 2004-06-18, Accepted 2005-09-09
Type:	Article
Abstract:	There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC) simulation techniques which allow realistic modeling of complex problems. This paper describes the capabilities of the free software package BayesX for estimating regression models with structured additive predictor based on MCMC inference. The program extends the capabilities of existing software for semiparametric regression included in S-PLUS, SAS, R or Stata. Many model classes well known from the literature are special cases of the models supported by BayesX. Examples are generalized additive (mixed) models, dynamic models, varying coefficient models, geoadditive models, geographically weighted regression and models for space-time regression. BayesX supports the most common distributions for the response variable. For univariate responses these are Gaussian, Binomial, Poisson, Gamma, negative Binomial, zero inflated Poisson and zero inflated negative binomial. For multicategorical responses, both multinomial logit and probit models for unordered categories of the response as well as cumulative threshold models for ordered categories can be estimated. Moreover, BayesX allows the estimation of complex continuous time survival and hazard rate models.
Paper:	[download] (8194)BayesX: Analyzing Bayesian Structural Additive Regression Models (application/pdf, 536.4 KB)

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Trevor

2013-12-14 02:01:51

BayesX: R Utilities Accompanying the Software Package BayesXThis package provides functionality for exploring and visualising estimation results obtained with the software package BayesX for structured additive regression. It also provides functions that allow to read, write and manipulate map objects that are required in spatial analyses performed with BayesX, a free software for estimating structured additive regression models (http://www.bayesx.org).
http://cran.r-project.org/web/packages/BayesX/index.html

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Trevor

2013-12-14 02:04:10

BayesX is available in three different versions.

A precompiled binary including installer (developed with the free open source license of install4j) is available for the various version of the Windows operating system. This version consists of a C++ computing kernel with a Java graphical user interface and contains built-in graphics facilities. Most of the documentation and the tutorials available on this webpage are written for the Windows version of BayesX.
A command line version of BayesX is distributed as a source code bundle. It contains a makefile and should work (possibly after minor modifications) on most operating systems.
The R package R2BayesX (available from CRAN) provides a third variant of BayesX that allows to call BayesX from within R via the usual model specification language.
Up to version 1.30, a fourth variant with Borland C++ graphical user interface has been distributed. This version of BayesX is no longer supported.
Download

Last Update: Version 2.1 (07.05.2012)

Please select the version of BayesX you want to download from the pull down menu below and click on the 'download' button.

The R-version of BayesX is available from CRAN.

Manuals

BayesX is distributed with three manuals: A reference manual containing a detailed description of the BayesX commands, a methodology manual containing a short review of the methodological background, and a tutorial manual containing tutorial like sections for new users. All three manuals are part of the standard installation of BayesX and can be found in the 'doc' directory (a subdirectory of the installation directory). They are also available from the BayesX help menu (in the windows version).

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lomooaaa

2014-11-1 16:24:12

请问楼主是不是了解BayesX呢，我现在正在用这个软件，所以有很多问题希望和你一起探讨，可以不

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