Updated index.rst, release-notes.rst

Added Update header , with brief release notes. to index.rst (landing page)

Added more elaboration to release-notes.rst, in line with pre-release announcements

Fixed minor issue with robust-beautiful.rst where one of the links wasn't going anywhere

Author: maiyishan

docs/source/index.rst

@@ -6,6 +6,21 @@
 DABEST
 ======
 
+Update
+------
+**DABEST version 2023.02.14** has been released: 
+:doc:`release-notes`
+
+Briefly, this release introduces several new functions:
+
+  - Additional plotting functions for repeated measures experimental designs
+  - Calculating of Cohen's *h* and proportional plots for binary data
+  - Calculating and plotting delta-deltas for 2x2 experimental designs
+  - Calculating and plotting of weighted deltas for mini-meta-analysis of experimental replicates
+
+Refer to :doc:`release-notes` for full details.
+
+
 -----------------------------------------------
 Data Analysis with Bootstrap-coupled ESTimation
 -----------------------------------------------
@@ -18,8 +33,16 @@ Analyze your data with estimation statistics!
 
 News
 ----
+March 2023:
+  - **v2023.02.14** released. The following features have been added:
+     - Additional plotting functions for repeated measures experimental designs
+     - Calculating of Cohen's *h* and proportional plots for binary data
+     - Calculating and plotting delta-deltas for 2x2 experimental designs
+     - Calculating and plotting of weighted deltas for mini-meta-analysis of experimental replicates
+  - See :doc:`release-notes` for more details.
+
 October 2020:
-  - v0.3.1 released. The minimal versions of dependencies have been upgraded. Also, the minimal version of Python required is now 3.5.
+  - v0.3.1 released. The minimal versions of dependencies have been upgraded. Also, the minimal version of Python required is now 3.6.
 
 January 2020:
  - v0.3.0 released. Approximate permutation tests have been added, and are now the default p-values reported in the textual output. The LqRT tests were also refactored to a user-callable property. For more information, see the :doc:`release-notes`.

docs/source/release-notes.rst

@@ -8,13 +8,12 @@ v2023.02.14
 -----------
 
 This release introduces several new functions:
-  - Additional plotting functions for repeated measures experimental designs:
-     - Plotting for paired comparisons of multiple test groups to a single control (``"baseline"``)
-     - Plotting for repeated measures of the same experimental group (``"sequential"``)
-     - **Important note:** The ``paired`` argument for ``dabest.load()`` is no longer boolean, and now only accepts ``"baseline"`` or ``"sequential"`` as a string.
-  - Calculating of Cohen's *h* and proportional plots for binary data
-  - Calculating and plotting of weighted deltas for mini-meta-analysis of experimental replicates
-  - Calculating and plotting delta-deltas for 2x2 experimental designs
+
+- **Repeated measures**: Augments the prior function for plotting (independent) multiple test groups versus a shared control (``"baseline"``); it can now do the same for repeated-measures experimental designs (``"sequential"``). Thus, together, these two methods can be used to replace both flavors of the 1-way ANOVA with an estimation analysis.
+    - **Deprecation notice:** The ``paired`` argument for ``dabest.load()`` is no longer boolean, and now only accepts ``"baseline"`` or ``"sequential"`` as a string.
+- **Proportional data**: Generates proportional bar plots, proportional differences, and calculates Cohen's *h*. Also enables plotting Sankey diagrams for paired binary data. This is the estimation equivalent to a bar chart with Fischer's exact test.
+- **The ∆∆ plot**: Calculates the delta-delta (∆∆) for 2 × 2 experimental designs and plots the four groups with their relevant effect sizes. This design can be used as a replacement for the 2 × 2 ANOVA.
+- **Mini-meta**: Calculates and plots a weighted delta (∆) for meta-analysis of experimental replicates. Useful for summarizing data from multiple replicated experiments, for example by different scientists in the same lab, or the same scientist at different times. When the observed values are known (and share a common metric), this makes meta-analysis available as a routinely accessible tool.
 
 Please read the updated tutorials if you wish to use any of the above functions:
 

docs/source/robust-beautiful.rst

@@ -109,7 +109,7 @@ This is one important difference between estimation plots created by DABEST, and
 the original Gardner-Altman design. Here, the 95% CI is computed through
 parametric methods, and displayed as a vertical error bar.
 
-Read more about this technique at :ref:`Bootstrap Confidence Intervals`.
+Read more about this technique at :doc:`bootstraps`.
 
 Introducing Estimation Statistics
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~