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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: 1.8.0.9000
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Date: 2021-01-07
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Version: 1.8.1.9000
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Date: 2021-06-13
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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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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/
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BugReports: https://github.com/stan-dev/bayesplot/issues/
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SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc

NEWS.md

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# bayesplot 1.8.1.9000
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* `mcmc_dens()` and `mcmc_dens_overlay()` gain arguments for controlling the
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* `mcmc_dens()` and `mcmc_dens_overlay()` gain arguments for controlling the
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the density calculation. (#258)
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* `mcmc_hist()` and `mcmc_dens()` gain argument `alpha` for controlling transparency. (#244)
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* Size of points and interval lines can set in
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`mcmc_intervals(..., outer_size, inner_size, point_size)`. (#215, #228, #229)
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* Size of points and interval lines can set in
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`mcmc_intervals(..., outer_size, inner_size, point_size)`. (#215, #228, #229)
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# bayesplot 1.8.1
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* Fix R cmd check error on linux for CRAN
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* Fix R cmd check error on linux for CRAN
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# bayesplot 1.8.0
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* New plotting function `ppc_km_overlay()` for outcome variables that are
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right-censored. Empirical CCDF estimates of `yrep` are compared with the
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Kaplan-Meier estimate of `y`. (#233, #234, @fweber144)
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* `ppc_loo_pit_overlay()` now uses a boundary correction for an improved kernel
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density estimation. The new argument `boundary_correction` defaults to TRUE but
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can be set to FALSE to recover the old version of the plot. (#171, #235,
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@ecoronado92)
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* CmdStanMCMC objects (from CmdStanR) can now be used with extractor
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functions `nuts_params()`, `log_posterior()`, `rhat()`, and
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`neff_ratio()`. (#227)
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* On the y axis, `ppc_loo_pit_qq(..., compare = "normal")` now plots standard
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normal quantiles calculated from the PIT values (instead of the standardized
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PIT values). (#240, #243, @fweber144)
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[ggridges]: https://CRAN.R-project.org/package=ggridges
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"ggridges package"
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