RC 0.2.0

.Rbuildignore

@@ -20,3 +20,4 @@
 ^codecov\.yml$
 ^panache.toml$
 ^cran-comments\.md$
+^CRAN-SUBMISSION$

CRAN-SUBMISSION

@@ -0,0 +1,3 @@
+Version: 0.2.0
+Date: 2026-10-26 12:51:34 UTC
+SHA: a65c8d05e7ae5e5f70b199901f646381df6eac77

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: rray
 Title: Array Helpers
-Version: 0.1.0.9000
+Version: 0.2.0
 Authors@R: c(
     person("Davis", "Vaughan", , "davis@posit.co", role = c("aut", "cre")),
     person("Posit Software, PBC", role = c("cph", "fnd"),
@@ -12,7 +12,7 @@ Description: Broadcast, reshape, reduce, and index base R arrays.
     broadcasts its inputs, so operations such as arithmetic, comparison,
     and combining work consistently across axes.
 License: MIT + file LICENSE
-URL: https://github.com/r-lib/rray, https://r-lib.github.io/rray/
+URL: https://github.com/r-lib/rray, https://rray.r-lib.org/
 BugReports: https://github.com/r-lib/rray/issues
 Depends:
     R (>= 4.3.0)

NEWS.md

@@ -1,4 +1,4 @@
-# rray (development version)
+# rray 0.2.0
 
 - Revival of rray!
 

README.Rmd

@@ -16,7 +16,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-# rray <a href='https://r-lib.github.io/rray/'><img src='man/figures/logo.png' align="right" height="139" /></a>
+# rray <a href='https://rray.r-lib.org/'><img src='man/figures/logo.png' align="right" height="139" /></a>
 
 <!-- badges: start -->
 [![R-CMD-check](https://github.com/r-lib/rray/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/r-lib/rray/actions/workflows/R-CMD-check.yaml)
@@ -49,9 +49,9 @@ pak::pak("r-lib/rray")
 - It is *consistent*! Talking about arrays is hard! Dimensions, axes, and
   margins are all terms that are thrown around loosely when refering to arrays.
   rray has been thoughtfully designed to use a very consistent set of
-  [terminology](https://r-lib.github.io/rray/articles/terminology.html)
-  throughout the entire package. Once you learn a few key terms, using the
-  package should feel pretty natural.
+  [terminology](https://rray.r-lib.org/articles/terminology.html) throughout the
+  entire package. Once you learn a few key terms, using the package should feel
+  pretty natural.
 
 - It is *fast*! rray is written entirely in C. Reduction functions like
   `rray_sum()` and accumulators such as `rray_cumulative_max()` are often
@@ -64,17 +64,16 @@ pak::pak("r-lib/rray")
   [NumPy](https://numpy.org/), broadcasting is a technique that recycles an axis
   of dimension 1 against any other dimension. This allows for novel yet
   intuitive array operations, which you can read more about below, or in the
-  [broadcasting](https://r-lib.github.io/rray/articles/broadcasting.html)
-  vignette.
+  [broadcasting](https://rray.r-lib.org/articles/broadcasting.html) vignette.
 
 - It supports *long vectors*! A "long" vector in R is any vector greater than ~2
   billion elements in length. R requires that each array axis have a dimension
   less than that limit, but the total size of the array (the product of each
   dimension) can be "long". rray fully supports these long arrays throughout the
   entire package.
 
-View [the website](https://r-lib.github.io/rray/) to learn more about how to use
-rray, or read on for a quick overview.
+View [the website](https://rray.r-lib.org/) to learn more about how to use rray,
+or read on for a quick overview.
 
 ```{r}
 library(rray)

README.md

@@ -1,7 +1,7 @@
 
 <!-- README.md is generated from README.Rmd. Please edit that file -->
 
-# rray <a href='https://r-lib.github.io/rray/'><img src='man/figures/logo.png' align="right" height="139" /></a>
+# rray <a href='https://rray.r-lib.org/'><img src='man/figures/logo.png' align="right" height="139" /></a>
 
 <!-- badges: start -->
 
@@ -36,7 +36,7 @@ pak::pak("r-lib/rray")
   and margins are all terms that are thrown around loosely when refering
   to arrays. rray has been thoughtfully designed to use a very
   consistent set of
-  [terminology](https://r-lib.github.io/rray/articles/terminology.html)
+  [terminology](https://rray.r-lib.org/articles/terminology.html)
   throughout the entire package. Once you learn a few key terms, using
   the package should feel pretty natural.
 
@@ -53,7 +53,7 @@ pak::pak("r-lib/rray")
   an axis of dimension 1 against any other dimension. This allows for
   novel yet intuitive array operations, which you can read more about
   below, or in the
-  [broadcasting](https://r-lib.github.io/rray/articles/broadcasting.html)
+  [broadcasting](https://rray.r-lib.org/articles/broadcasting.html)
   vignette.
 
 - It supports *long vectors*! A “long” vector in R is any vector greater
@@ -62,8 +62,8 @@ pak::pak("r-lib/rray")
   (the product of each dimension) can be “long”. rray fully supports
   these long arrays throughout the entire package.
 
-View [the website](https://r-lib.github.io/rray/) to learn more about
-how to use rray, or read on for a quick overview.
+View [the website](https://rray.r-lib.org/) to learn more about how to
+use rray, or read on for a quick overview.
 
 ``` r
 library(rray)

_pkgdown.yml

@@ -1,4 +1,4 @@
-url: https://r-lib.github.io/rray
+url: https://rray.r-lib.org/
 
 template:
   package: tidytemplate