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update NEWS
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NEWS.md

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<!-- See http://style.tidyverse.org/news.html for advice on writing news -->
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# placeholder for news items from PPD branch
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# bayesplot 1.8.1.9000
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* New PPD module with a lot of new plotting functions with `ppd_` prefix (e.g.,
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`ppd_intervals()`) for plotting posterior and prior predictive distributions
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without comparing to observed data (i.e., no `y` argument). These plots are
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essentially the same as the corresponding PPC plots (e.g., `ppc_intervals()`)
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but without showing any observed data. See `help("PPD-overview")` for details.
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* New module PPD (posterior/prior predictive distribution) with a lot of new
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plotting functions with `ppd_` prefix. These functions plot draws from the prior
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or posterior predictive distributions (PPD) without comparing to observed data
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(i.e., no `y` argument). Because these are not "checks" against the observed
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data we use PPD instead of PPC. These plots are essentially the same as the
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corresponding PPC plots but without showing any observed data (e.g.,
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`ppd_intervals()` is like `ppc_intervals()` but without plotting `y`). See
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`help("PPD-overview")` for details. (#151, #222)
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* All PPC categories now have one or more `_data()` functions that return the
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data used for plotting (Advances #97). Many already existed, but the new ones in
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this release are:
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data frame used for plotting (#97, #222). Many of these have already been in
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previous releases, but the new ones in this release are:
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- `ppc_bars_data()`
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- `ppc_error_data()`
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- `ppc_error_binnned_data()`
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- `ppc_error_hist_grouped()`
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- `ppc_error_scatter()`
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- `ppc_error_binned()`
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* New plotting function `ppc_km_overlay_grouped()`, the grouped variant of
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`ppc_km_overlay()`. (#260, @fweber144)
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* `ppc_scatter()`, `ppc_scatter_avg()`, and `ppc_scatter_avg_grouped()` gain an
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argument `ref_line`, which can be set to `FALSE` to turn off the `x=y` line
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drawn behind the scatterplot.
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# bayesplot 1.8.1.9000
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* `mcmc_*()` functions now support all draws formats from the **posterior** package. (#277, @Ozan147)
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* `mcmc_dens()` and `mcmc_dens_overlay()` gain arguments for controlling the
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* `mcmc_areas()` and `mcmc_areas_ridges()` gain an argument `border_size` for
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controlling the thickness of the ridgelines. (#224)
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* New plotting function `ppc_km_overlay_grouped()`, the grouped variant of
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`ppc_km_overlay()`. (#260, @fweber144)
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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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