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@tjmahr CRAN asked for a release with the fixes from #254 so I'll submit what we currently have on master. The open PRs can wait.
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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: 1.7.2.9000
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Date: 2020-05-27
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Version: 1.8.0
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Date: 2021-01-06
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Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "[email protected]"),
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person("Tristan", "Mahr", role = "aut"),
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person("Paul-Christian", "Bürkner", role = "ctb"),

NEWS.md

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<!-- See http://style.tidyverse.org/news.html for advice on writing news -->
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# bayesplot 1.7.2.9000
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# bayesplot 1.8.0
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<!--
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(GitHub issue/PR numbers in parentheses)
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* Items for next release go here
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-->
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* Added `ppc_dens_overlay_grouped()` and `ppc_ecdf_overlay_grouped()` for
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plotting density and cumulative distributions of the posterior predictive
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distribution (versus observed data) by group. (#212)
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### Bug fixes
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* `mcmc_areas()` tries to use less vertical blank space. (#218, #230)
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* Fix bug in `color_scheme_view()` minimal theme (#213).
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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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* Fix error in `mcmc_acf()` for certain input types. (#244, #245, @hhau)
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### New features
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* New plotting functions `ppc_dens_overlay_grouped()` and `ppc_ecdf_overlay_grouped()`
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for plotting density and cumulative distributions of the posterior predictive
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distribution (versus observed data) by group. (#212)
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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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* Added missing `facet_args` argument to `mcmc_rank_overlay()`. (#221, @hhau)
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* `mcmc_rank_overlay()` gains argument `facet_args`. (#221, @hhau)
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* Size of points and interval lines can set in
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* For `mcmc_intervals()` the size` of the points and interval lines can be set with
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`mcmc_intervals(..., outer_size, inner_size, point_size)`. (#215, #228, #229)
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* `mcmc_areas()` tries to use less blank vertical blank space. (#218, #230)
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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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* Fix error in `mcmc_acf()` for some input types. (#244, #245, @hhau)
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# bayesplot 1.7.2
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