R2WinBUGS

R2WinBUGS: Running WinBUGS and OpenBUGS from R / S-PLUS , Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R / S-PLUS. In S-PLUS, the openbugs functionality and the windows emulation functionality is not yet available. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 60 articles , 1 standard article )

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  1. Amaral Turkman, Maria Antónia; Paulino, Carlos Daniel; Müller, Peter: Computational Bayesian statistics. An introduction (2019)
  2. Cowles, Mary Kathryn; Bonett, Stephen; Seedorff, Michael: Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration (2018)
  3. Jing Zhao; Jian’an Luan; Peter Congdon: Bayesian Linear Mixed Models with Polygenic Effects (2018) not zbMATH
  4. Barrado, Leandro García; Coart, Els; Burzykowski, Tomasz: Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test (2017)
  5. Ganjali, M.; Moradzadeh, N.; Baghfalaki, T.: Bayesian testing of agreement criteria under order constraints (2017)
  6. Mohsenkhani, Zohreh Fallah; Mohammadzadeh, Mohsen: Augmented mixed beta regression and modeling of employed proportions in households (2017)
  7. Thanoon, Thanoon Y.; Adnan, Robiah: Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data (2017)
  8. Elghafghuf, Adel; Stryhn, Henrik: Correlated versus uncorrelated frailty Cox models: a comparison of different estimation procedures (2016)
  9. Jingjing Yang, Peng Ren: BFDA: A Matlab Toolbox for Bayesian Functional Data Analysis (2016) arXiv
  10. Zhengzheng Zhang and Richard Parker and Christopher Charlton and George Leckie and William Browne: R2MLwiN: A Package to Run MLwiN from within R (2016) not zbMATH
  11. Casals, Martí; Langohr, Klaus; Carrasco, Josep Lluís; Rönnegård, Lars: Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study (2015)
  12. Ferreira, Guillermo; Figueroa-Zúñiga, Jorge I.; de Castro, Mário: Partially linear beta regression model with autoregressive errors (2015)
  13. Fried, Roland; Agueusop, Inoncent; Bornkamp, Björn; Fokianos, Konstantinos; Fruth, Jana; Ickstadt, Katja: Retrospective Bayesian outlier detection in INGARCH series (2015)
  14. Guy J. Abel: fanplot: An R Package for Visualising Sequential Distributions (2015) not zbMATH
  15. Khandoker Bakar; Sujit Sahu: spTimer: Spatio-Temporal Bayesian Modeling Using R (2015) not zbMATH
  16. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  17. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  18. Patrick Brown: Model-Based Geostatistics the Easy Way (2015) not zbMATH
  19. Schwarzer, Guido; Carpenter, James R.; Rücker, Gerta: Meta-analysis with R (2015)
  20. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)

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