prepare for CRAN (#296)

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: see
 Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
-Version: 0.7.5.10
+Version: 0.8.0
 Authors@R: 
     c(person(given = "Daniel",
              family = "Lüdecke",
@@ -63,17 +63,15 @@ Depends:
     R (>= 3.6),
     stats
 Imports:
-    bayestestR (>= 0.13.0),
-    correlation (>= 0.8.3),
-    datawizard (>= 0.7.0),
+    bayestestR (>= 0.13.1),
+    correlation (>= 0.8.4),
+    datawizard (>= 0.7.1),
     effectsize (>= 0.8.3),
-    ggplot2 (>= 3.4.1),
-    insight (>= 0.19.1),
-    modelbased (>= 0.8.5),
-    parameters (>= 0.20.2),
-    performance (>= 0.10.1)
-Remotes:
-    easystats/performance, easystats/bayestestR
+    ggplot2 (>= 3.4.2),
+    insight (>= 0.19.2),
+    modelbased (>= 0.8.6),
+    parameters (>= 0.21.1),
+    performance (>= 0.10.4)
 Suggests:
     brms,
     curl,

NEWS.md

@@ -1,26 +1,28 @@
-# see (development version)
+# see 0.8.0
 
 * `plot()` for `performance::check_model()` no longer produces a normal QQ plot
-  for GLMs. Instead, it now shows a half-normal QQ plot of the absolute value
-  of the standardized deviance residuals.
+  for GLMs. Instead, it now shows a half-normal QQ plot of the absolute value of
+  the standardized deviance residuals.
 
-* `plot()` for `performance::check_model()` and `performance::check_predictions()`
-  gains a `type` argument, to either create density plots, or discrete dots resp.
-  interval plots for posterior predictive checks.
+* `plot()` for `performance::check_model()` and
+  `performance::check_predictions()` gains a `type` argument, to either create
+  density plots, or discrete dots resp. interval plots for posterior predictive
+  checks.
 
 * `plot()` for `performance::check_model()` gains an `n_column` argument, to
-  define the number of columns for the diagnostic plots (by default, two columns).
+  define the number of columns for the diagnostic plots (by default, two
+  columns).
 
 * `plot()` for `performance::check_model()` sometimes failed to create the plot
   under certain conditions, e.g. when the screen or app windows was zoomed-in.
   If an error occurs, a much more informative error message is shown, providing
-  several possible solutions to resolve this poblem.
+  several possible solutions to resolve this problem.
 
 * `plot()` for `parameters::equivalence_test()` now aligns the labelling with
-  the `print()` method. Hence, the legend title is no longer labelled
-  `"Decision on H0"`, but rather `"Equivalence"`, to emphasize that we can
-  assume practical equivalence for effects, but that we cannot accept the H0
-  (in a frequentist framework).
+  the `print()` method. Hence, the legend title is no longer labelled `"Decision
+  on H0"`, but rather `"Equivalence"`, to emphasize that we can assume practical
+  equivalence for effects, but that we cannot accept the H0 (in a frequentist
+  framework).
 
 * Added some examples and cross references between docs. Furthermore, a vignette
   about plotting functions for the *datawizard* package was added.
@@ -32,18 +34,18 @@
 
 * Fixes issue in `plot.binned_residuals()` for models whose residuals were
   completely inside error bounds.
-  
-* `plot()` now works when using it on the output of `describe_distribution()` with
-  a `select` argument of length 1.
+
+* `plot()` now works when using it on the output of `describe_distribution()`
+  with a `select` argument of length 1.
 
 # see 0.7.5
 
 ## Changes
 
 * Changed the default "yellow" color in `palette_okabeito()` to `"#F5C710"`
-  instead of `"#F0E442"` to increase visibility against a white background.
-  For the original Okabe-Ito palette, set `palette = "full_original"` or 
-  `palette = "black_first_original"`.
+  instead of `"#F0E442"` to increase visibility against a white background. For
+  the original Okabe-Ito palette, set `palette = "full_original"` or `palette =
+  "black_first_original"`.
 
 * Deals with deprecated arguments and functions in recent `{ggplot2}` updates.
 

R/plot.check_predictions.R

@@ -271,21 +271,22 @@ plot.see_performance_pp_check <- function(x,
     x_tmp$grp <- NULL
 
     x_errorbars <- rbind(x_errorbars, x_tmp)
-    p1 <- ggplot2::ggplot() + ggplot2::geom_pointrange(
-      data = x_errorbars[x_errorbars$key == "Model-predicted data", ],
-      mapping = ggplot2::aes(
-        x = .data$x,
-        y = .data$count,
-        ymin = .data$CI_low,
-        ymax = .data$CI_high,
-        color = .data$key
-      ),
-      position = ggplot2::position_nudge(x = 0.2),
-      size = 1.5 * size_line,
-      linewidth = 1.5 * size_line,
-      stroke = 0,
-      shape = 16
-    ) +
+    p1 <- ggplot2::ggplot() +
+      ggplot2::geom_pointrange(
+        data = x_errorbars[x_errorbars$key == "Model-predicted data", ],
+        mapping = ggplot2::aes(
+          x = .data$x,
+          y = .data$count,
+          ymin = .data$CI_low,
+          ymax = .data$CI_high,
+          color = .data$key
+        ),
+        position = ggplot2::position_nudge(x = 0.2),
+        size = 1.5 * size_line,
+        linewidth = 1.5 * size_line,
+        stroke = 0,
+        shape = 16
+      ) +
       ggplot2::geom_point(
         data = x_errorbars[x_errorbars$key == "Observed data", ],
         mapping = ggplot2::aes(

README.md

@@ -479,10 +479,10 @@ line-spacing="2">
 
 <div id="ref-Ben-Shachar2020" class="csl-entry">
 
-Ben-Shachar, M. S., Lüdecke, D., & Makowski, D. (2020). <span
-class="nocase">e</span>ffectsize: Estimation of effect size indices and
-standardized parameters. *Journal of Open Source Software*, *5*(56),
-2815. <https://doi.org/10.21105/joss.02815>
+Ben-Shachar, M. S., Lüdecke, D., & Makowski, D. (2020).
+<span class="nocase">e</span>ffectsize: Estimation of effect size
+indices and standardized parameters. *Journal of Open Source Software*,
+*5*(56), 2815. <https://doi.org/10.21105/joss.02815>
 
 </div>
 
@@ -507,8 +507,8 @@ Open Source Software*, *6*(60), 3139.
 
 <div id="ref-Makowski2019" class="csl-entry">
 
-Makowski, D., Ben-Shachar, M. S., & Lüdecke, D. (2019). <span
-class="nocase">bayestestR</span>: Describing effects and their
+Makowski, D., Ben-Shachar, M. S., & Lüdecke, D. (2019).
+<span class="nocase">bayestestR</span>: Describing effects and their
 uncertainty, existence and significance within the Bayesian framework.
 *Journal of Open Source Software*, *4*(40), 1541.
 <https://doi.org/10.21105/joss.01541>

cran-comments.md

@@ -2,7 +2,7 @@
 
 0 errors | 0 warnings | 0 note
 
-* Updates docs and tests for the latest `{ggplot2}` release.
+* Maintenance release.
 
 ## revdepcheck results