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.Rbuildignore

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man-roxygen/*
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images/*
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book/*
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docs/*

DESCRIPTION

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Package: bayesplot
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Type: Package
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Title: Plotting for Bayesian Models
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Version: 1.6.0.9000
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Date: 2018-08-01
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Version: 1.7.0
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Date: 2019-05-22
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Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "jsg2201@columbia.edu"),
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person("Tristan", "Mahr", role = "aut"),
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person("Paul-Christian", "Bürkner", role = "ctb"),
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person("Martin", "Modrák", role = "ctb"),
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person("Malcolm", "Barrett", role = "ctb"))
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Maintainer: Jonah Gabry <jsg2201@columbia.edu>
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Description: Plotting functions for posterior analysis, posterior predictive checks,
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and MCMC diagnostics. The package is designed not only to provide convenient
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functionality for users, but also a common set of functions that can be
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easily used by developers working on a variety of R packages for Bayesian
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modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
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Description: Plotting functions for posterior analysis,
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prior and posterior predictive checks, and MCMC diagnostics.
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The package is designed not only to provide convenient functionality
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for users, but also a common set of functions that can be easily used by
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developers working on a variety of R packages for Bayesian modeling,
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particularly (but not exclusively) packages interfacing with 'Stan'.
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License: GPL (>= 3)
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LazyData: TRUE
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URL: https://mc-stan.org/bayesplot

NEWS.md

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<!-- See http://style.tidyverse.org/news.html for advice on writing news -->
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# bayesplot 1.6.0.9000
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# bayesplot 1.7.0
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(GitHub issue/PR numbers in parentheses)
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<!-- Items for next release go here* -->
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* The `pars` argument of all MCMC plotting functions now supports tidy variable selection.
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See `help("tidy-params", package="bayesplot")` for details and examples. (#161, #183, #188)
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* The `pars` argument of all MCMC plotting functions now supports tidy variable
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selection. See `help("tidy-params", package="bayesplot")` for details and
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examples. (#161, #183, #188)
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* Two new plots have been added for inspecting the distribution of ranks.
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Rank histograms were introduced by the Stan team's [new paper on

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