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 30 articles )

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  1. 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)
  2. Ferreira, Guillermo; Figueroa-Zúñiga, Jorge I.; de Castro, Mário: Partially linear beta regression model with autoregressive errors (2015)
  3. Fried, Roland; Agueusop, Inoncent; Bornkamp, Björn; Fokianos, Konstantinos; Fruth, Jana; Ickstadt, Katja: Retrospective Bayesian outlier detection in INGARCH series (2015)
  4. Mostafa, Ayman A.: Bayesian analysis technique for generalized Cox’s proportional hazards model using BUGS: applications in medical data (2015)
  5. Müller, Peter; Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim: Bayesian nonparametric data analysis (2015)
  6. Schwarzer, Guido; Carpenter, James R.; Rücker, Gerta: Meta-analysis with R (2015)
  7. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)
  8. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  9. Zhang, Jing; Bailer, A.John; Oris, James T.: Estimating potency for hierarchical dichotomous responses in an aquatic toxicology study (2014)
  10. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2013)
  11. Højsgaard, Søren; Edwards, David; Lauritzen, Steffen: Graphical models with R. (2012)
  12. Lesaffre, Emmanuel; Lawson, Andrew B.: Bayesian biostatistics (2012)
  13. Tojeiro, Cynthia A.V.; Louzada, Francisco: A general threshold stress hybrid hazard model for lifetime data (2012)
  14. Zhang, Peng; Liu, Juxin; Dong, Jianghu; Holovati, Jelena L.; Letcher, Brenda; McGann, Locksley E.: A Bayesian adjustment for multiplicative measurement errors for a calibration problem with application to a stem cell study (2012)
  15. Gao, Feng; Miller, J.Philip; Xiong, Chengjie; Beiser, Julia A.; Gordon, Mae; The Ocular Hypertension Study (OHTS) Group: A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome (2011)
  16. Gelman, Andrew; Shirley, Kenneth: Inference from simulations and monitoring convergence (2011)
  17. Hatfield, Laura A.; Gutreuter, Steve; Boogaard, Michael A.; Carlin, Bradley P.: Multilevel empirical Bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper great lakes (2011)
  18. Li, Yong; Ni, Zhongxin; Zhang, Jie: An efficient stochastic simulation algorithm for Bayesian unit root testing in stochastic volatility models (2011)
  19. Loeys, T.; Rosseel, Y.; Baten, K.: A joint modeling approach for reaction time and accuracy in psycholinguistic experiments (2011)
  20. Overstall, Antony M.; Forster, Jonathan J.: Default Bayesian model determination methods for generalised linear mixed models (2010)

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