MCMC for Generalized Linear Mixed Models with glmmBUGS

被引：0
|
作者：
Brown, Patrick [1 ,2 ]
Zhou, Lutong [2 ]
机构：
[1] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON M5S 1A1, Canada
[2] Canc Care Ontario, Toronto, ON, Canada
来源：
R JOURNAL | 2010年 / 2卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The glmmBUGS package is a bridging tool between Generalized Linear Mixed Models (GLMMs) in R and the BUGS language. It provides a simple way of performing Bayesian inference using Markov Chain Monte Carlo (MCMC) methods, taking a model formula and data frame in R and writing a BUGS model file, data file, and initial values files. Functions are provided to reformat and summarize the BUGS results. A key aim of the package is to provide files and objects that can be modified prior to calling BUGS, giving users a platform for customizing and extending the models to accommodate a wide variety of analyses.
引用
收藏
页码：13 / 17
页数：5
相关论文
共 50 条
  • [1] Ethanol production in Brazil: An assessment of main drivers with MCMC generalized linear mixed models
    Martins, Andre Luis
    Wanke, Peter
    Chen, Zhongfei
    Zhang, Ning
    RESOURCES CONSERVATION AND RECYCLING, 2018, 132 : 16 - 27
  • [2] MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package
    Hadfield, Jarrod D.
    JOURNAL OF STATISTICAL SOFTWARE, 2010, 33 (02): : 1 - 22
  • [3] An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models
    Wanke, Peter
    Barros, Carlos Pestana
    Chen, Zhongfei
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 169 : 110 - 126
  • [4] Generalized, linear and mixed models.
    Land, KC
    SOCIOLOGICAL METHODS & RESEARCH, 2002, 30 (04) : 583 - 584
  • [5] GENERALIZED LINEAR MIXED MODELS IN BIOSTATISTICS
    CLAYTON, D
    STATISTICIAN, 1992, 41 (03): : 327 - 328
  • [6] Classification of territory risk by generalized linear and generalized linear mixed models
    Xie, Shengkun
    Gan, Chong
    JOURNAL OF MANAGEMENT ANALYTICS, 2023, 10 (02) : 223 - 246
  • [7] Actuarial statistics with generalized linear mixed models
    Antonio, Katrien
    Beirlant, Jan
    INSURANCE MATHEMATICS & ECONOMICS, 2007, 40 (01): : 58 - 76
  • [8] APPROXIMATE INFERENCE IN GENERALIZED LINEAR MIXED MODELS
    BRESLOW, NE
    CLAYTON, DG
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1993, 88 (421) : 9 - 25
  • [9] FULL CREDIBILITY WITH GENERALIZED LINEAR AND MIXED MODELS
    Garrido, Jose
    Zhou, Jun
    ASTIN BULLETIN, 2009, 39 (01): : 61 - 80
  • [10] Robust estimation in generalized linear mixed models
    Yau, KKW
    Kuk, AYC
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2002, 64 : 101 - 117
12345