RC 1.4.0

DESCRIPTION

@@ -1,10 +1,10 @@
 Package: dials
 Title: Tools for Creating Tuning Parameter Values
-Version: 1.3.0.9000
+Version: 1.4.0
 Authors@R: c(
     person("Max", "Kuhn", , "[email protected]", role = "aut"),
     person("Hannah", "Frick", , "[email protected]", role = c("aut", "cre")),
-    person("Posit Software, PBC", role = c("cph", "fnd"))
+    person("Posit Software, PBC", role = c("cph", "fnd"), comment = c(ROR = "03wc8by49"))
   )
 Description: Many models contain tuning parameters (i.e. parameters that
     cannot be directly estimated from the data). These tools can be used

NEWS.md

@@ -1,22 +1,22 @@
-# dials (development version)
-
-* Added three new parameters for use in postprocessing in the tailor package (#357).
-     - `buffer()` sets the distance on either side of a classification threshold 
-       within which predictions are considered equivocal in 
-       `tailor::adjust_equivocal_zone()`.
-     - `lower_limit()` and `upper_limit()` sets the ranges for
-       numeric predictions in `tailor::adjust_numeric_range()`.
-
-* All messages, warnings and errors has been translated to use {cli} package (#311). 
+# dials 1.4.0
 
 * For space-filling designs for $p$ parameters, there is a higher likelihood of finding a space-filling design for `1 < size <= p`. Also, single-point designs now default to a random grid (#363).
 
 * `value_seq()` and `value_sample()` now respect the `inclusive` argument of quantitative parameters (#347).
 
 * The constructors, `new_*_parameter()`, now label unlabeled parameter (i.e., constructed with `label = NULL`) as such (#349).
 
+* All messages, warnings and errors has been translated to use {cli} package (#311). 
+
 * `parameters.list()` now enforces the unused ellipsis to be empty (#378).
 
+* Added three new parameters for use in postprocessing in the tailor package (#357).
+     - `buffer()` sets the distance on either side of a classification threshold 
+       within which predictions are considered equivocal in 
+       `tailor::adjust_equivocal_zone()`.
+     - `lower_limit()` and `upper_limit()` sets the ranges for
+       numeric predictions in `tailor::adjust_numeric_range()`.
+
 ## Breaking changes
 
 * The `grid_*()` functions now error instead of warn when provided with the wrong argument to control the grid size. So `grid_space_filling()`, `grid_random()`, `grid_max_entropy()`, and `grid_latin_hypercube()` now error if used with a `levels` argument and `grid_regular()` now errors if used with a `size` argument (#368).