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+ 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 08 + 2019 + + + 4 + + 40 + + + + greta: simple and scalable statistical modelling in R + + + + Nick + Golding + http://orcid.org/0000-0001-8916-5570 + + + + 08 + 12 + 2019 + + + 1601 + + + 10.21105/joss.01601 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + https://doi.org/10.5281/zenodo.819476 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/1601 + + + + 10.21105/joss.01601 + https://joss.theoj.org/papers/10.21105/joss.01601 + + + http://www.theoj.org/openjournals/joss-papers/joss.01601/10.21105.joss.01601.pdf + + + + + + OpenBUGS user manual, version 3.2.3, Spiegelhalter, David and Thomas, Andrew and Best, Nicky and Lunn, Dave, MRC Biostatistics Unit, Cambridge, 2014 + + + JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling, Plummer, Martyn and others, Proceedings of the 3rd international workshop on distributed statistical computing, 124, 125.10, 2003, Vienna, Austria. + + + 10.1080/10618600.2016.1172487 + + + 10.18637/jss.v076.i01 + + + 10.7717/peerj-cs.55 + + + Tran, Dustin and Kucukelbir, Alp and Dieng, Adji B. and Rudolph, Maja and Liang, Dawen and Blei, David M., Edward: A library for probabilistic modeling, inference, and criticism, arXiv preprint arXiv:1610.09787, 2016 + + + TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, http://tensorflow.org/, Software available from tensorflow.org, Martín Abadi and Ashish Agarwal and Paul Barham and Eugene Brevdo and Zhifeng Chen and Craig Citro and Greg S. Corrado and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Ian Goodfellow and Andrew Harp and Geoffrey Irving and Michael Isard and Jia, Yangqing and Rafal Jozefowicz and Lukasz Kaiser and Manjunath Kudlur and Josh Levenberg and Dan Mané and Rajat Monga and Sherry Moore and Derek Murray and Chris Olah and Mike Schuster and Jonathon Shlens and Benoit Steiner and Ilya Sutskever and Kunal Talwar and Paul Tucker and Vincent Vanhoucke and Vijay Vasudevan and Fernanda Viégas and Oriol Vinyals and Pete Warden and Martin Wattenberg and Martin Wicke and Yuan Yu and Xiaoqiang Zheng, 2015 + + + Modern Applied Statistics with S, Venables, W. 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D., Springer, Fourth, New York, 2002, ISBN 0-387-95457-0, http://www.stats.ox.ac.uk/pub/MASS4 + + + CODA: Convergence Diagnosis and Output Analysis for MCMC, Plummer, Martyn and Best, Nicky and Cowles, Kate and Vines, Karen, R News, 2006, 6, 1, 7–11, https://journal.r-project.org/archive/, https://www.r-project.org/doc/Rnews/Rnews_2006-1.pdf + + + bayesplot: Plotting for Bayesian Models, Gabry, Jonah and Mahr, Tristan, 2018, R package version 1.6.0, https://CRAN.R-project.org/package=bayesplot + + + R6: Encapsulated Classes with Reference Semantics, Chang, Winston, 2019, R package version 2.4.0, https://CRAN.R-project.org/package=R6 + + + Tensorflow distributions, Dillon, Joshua V and Langmore, Ian and Tran, Dustin and Brevdo, Eugene and Vasudevan, Srinivas and Moore, Dave and Patton, Brian and Alemi, Alex and Hoffman, Matt and Saurous, Rif A, arXiv preprint arXiv:1711.10604, 2017 + + + reticulate: Interface to ’Python’, Ushey, Kevin and Allaire, JJ and Tang, Yuan, 2019, R package version 1.12, https://CRAN.R-project.org/package=reticulate + + + tensorflow: R Interface to ’TensorFlow’, Allaire, JJ and Tang, Yuan, 2019, R package version 1.13.1, https://CRAN.R-project.org/package=tensorflow + + + future: Unified Parallel and Distributed Processing in R for Everyone, Bengtsson, Henrik, 2019, R package version 1.12.0, https://CRAN.R-project.org/package=future + + + tidyverse: Easily Install and Load the ’Tidyverse’, Wickham, Hadley, 2017, R package version 1.2.1, https://CRAN.R-project.org/package=tidyverse + + + R: A Language and Environment for Statistical Computing, R Core Team, R Foundation for Statistical Computing, Vienna, Austria, 2019, https://www.R-project.org/ + + + + + +