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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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+
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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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-
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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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-
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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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