R2WinBUGS: A Package for Running WinBUGS from R
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TLDR
The R2WinBUGS package provides convenient functions to call WinBUGS from R and automatically writes the data and scripts in a format readable by WinBUGs for processing in batch mode, which is possible since version 1.4.Abstract:
The R2WinBUGS package provides convenient functions to call WinBUGS from R. It automatically writes the data and scripts in a format readable by WinBUGS for processing in batch mode, which is possible since version 1.4. After the WinBUGS process has finished, it is possible either to read the resulting data into R by the package itself—which gives a compact graphical summary of inference and convergence diagnostics—or to use the facilities of the coda package for further analyses of the output. Examples are given to demonstrate the usage of this package.read more
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Journal ArticleDOI
Checking consistency in mixed treatment comparison meta-analysis.
TL;DR: A hierarchical Bayesian approach to MTC implemented using WinBUGS and R is taken and it is shown that both methods are useful in identifying potential inconsistencies in different types of network and that they illustrate how the direct and indirect evidence combine to produce the posterior MTC estimates of relative treatment effects.
Journal ArticleDOI
A chromosome-based draft sequence of the hexaploid bread wheat (Triticum aestivum) genome
Klaus F. X. Mayer,Jane Rogers,Jaroslav Doležel,Curtis J. Pozniak,Kellye Eversole,Catherine Feuillet,Bikram S. Gill,Bernd Friebe,Adam J. Lukaszewski,Pierre Sourdille,Takashi R. Endo,M. Kubaláková,Jarmila Číhalíková,Zdeňka Dubská,Jan Vrána,Romana Šperková,Hana Šimková,Melanie Febrer,Leah Clissold,Kirsten McLay,Kuldeep Singh,Parveen Chhuneja,Nagendra K. Singh,Jitendra P. Khurana,Eduard Akhunov,Frédéric Choulet,Adriana Alberti,Valérie Barbe,Patrick Wincker,Hiroyuki Kanamori,Fuminori Kobayashi,Takeshi Itoh,Takashi Matsumoto,Hiroaki Sakai,Tsuyoshi Tanaka,Jianzhong Wu,Yasunari Ogihara,Hirokazu Handa,P. Ron Maclachlan,Andrew G. Sharpe,Darrin Klassen,David Edwards,Jacqueline Batley,Odd-Arne Olsen,Simen Rød Sandve,Sigbjørn Lien,Burkhard Steuernagel,Brande B. H. Wulff,Mario Caccamo,Sarah Ayling,Ricardo H. Ramirez-Gonzalez,Bernardo J. Clavijo,Jonathan M. Wright,Matthias Pfeifer,Manuel Spannagl,Mihaela Martis,Martin Mascher,Jarrod Chapman,Jesse Poland,Uwe Scholz,Kerrie Barry,Robbie Waugh,Daniel S. Rokhsar,Gary J. Muehlbauer,Nils Stein,Heidrun Gundlach,Matthias Zytnicki,Véronique Jamilloux,Hadi Quesneville,Thomas Wicker,Primetta Faccioli,Moreno Colaiacovo,Antonio Michele Stanca,Hikmet Budak,Luigi Cattivelli,Natasha Glover,Lise Pingault,Etienne Paux,Sapna Sharma,Rudi Appels,Matthew I. Bellgard,Brett Chapman,Thomas Nussbaumer,Kai Christian Bader,Hélène Rimbert,Shichen Wang,Ron Knox,Andrzej Kilian,Michael Alaux,Françoise Alfama,Loïc Couderc,Nicolas Guilhot,Claire Viseux,Mikaël Loaec,Beat Keller,Sébastien Praud +95 more
TL;DR: Insight into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
Journal ArticleDOI
Landscape effects on crop pollination services: are there general patterns?
Taylor H. Ricketts,James Regetz,Ingolf Steffan-Dewenter,Saul A. Cunningham,Claire Kremen,Anne K. Bogdanski,Barbara Gemmill-Herren,Sarah S. Greenleaf,Alexandra-Maria Klein,Alexandra-Maria Klein,Margaret M. Mayfield,Laura A. Morandin,Alfred Ochieng,Blande F. Viana +13 more
TL;DR: Tropical crops pollinated primarily by social bees may be most susceptible to pollination failure from habitat loss, and the general relationship between pollination services and distance from natural or semi-natural habitats is estimated.
Journal ArticleDOI
A review of Bayesian variable selection methods: what, how and which
TL;DR: The results suggest that SSVS, reversible jump MCMC and adaptive shrinkage methods can all work well, but the choice of which method is better will depend on the priors that are used, and also on how they are implemented.
Journal ArticleDOI
An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias
TL;DR: This paper analyzed data from 125,000 pedestrian stops by the New York Police Department over a 15-month period and compared stop rates by racial and ethnic groups, controlling for previous race-specific arrest rates.
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