Add minor documentation changes for first release.

asnelt · May 24, 2017 · c30ba7c · c30ba7c
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diff --git a/README.rst b/README.rst
@@ -56,10 +56,9 @@ Usage
 -----
 
 Suppose that data are given in a NumPy array ``samples`` with shape ``(n, d)``,
-where ``n`` is the number of samples and ``d`` is the number of elements.
-First, specify which of the elements are continuous.  If, for instance, the
-distribution has three elements and the first and last element are continuous
-whereas the second element is discrete:
+where ``n`` is the number of samples and ``d`` is the number of elements per
+sample.  First, specify which of the elements are continuous.  If, for instance,
+the distribution has three elements and the first and last element are continuous whereas the second element is discrete:
 
 .. code-block:: python
 
@@ -149,13 +148,21 @@ To manually construct and visualize a simple mixed vine model:
 This code shows the 2d marginals and 100 samples of a 3d mixed vine.
 
 
+Source code
+-----------
+
+The source code of the mixedvines package is hosted on
+`GitHub
+<https://github.com/asnelt/mixedvines/>`_.
+
+
 References
 ----------
 
-.. [ONKEN2016] A. Onken and S. Panzeri (2016). Mixed vine copulas as joint models
-   of spike counts and local field potentials.  In D. D. Lee, M. Sugiyama,
-   U. V. Luxburg, I. Guyon and R. Garnett, editors, Advances in Neural
-   Information Processing Systems 29 (NIPS 2016), pages 1325-1333.
+.. [ONKEN2016] A. Onken and S. Panzeri (2016).  Mixed vine copulas as joint
+   models of spike counts and local field potentials.  In D. D. Lee,
+   M. Sugiyama, U. V. Luxburg, I. Guyon and R. Garnett, editors, Advances in
+   Neural Information Processing Systems 29 (NIPS 2016), pages 1325-1333.
 
 
 License

diff --git a/docs/source_code.rst b/docs/source_code.rst
@@ -2,6 +2,6 @@ Source code
 ===========
 
 
-The source code of the mixedvines package is hosted at
+The source code of the mixedvines package is hosted on
 `GitHub
 <https://github.com/asnelt/mixedvines/>`_.
diff --git a/docs/usage.rst b/docs/usage.rst
@@ -3,10 +3,10 @@ Usage
 
 
 Suppose that data are given in a NumPy array ``samples`` with shape ``(n, d)``,
-where ``n`` is the number of samples and ``d`` is the number of elements.
-First, specify which of the elements are continuous.  If, for instance, the
-distribution has three elements and the first and last element are continuous
-whereas the second element is discrete:
+where ``n`` is the number of samples and ``d`` is the number of elements per
+sample.  First, specify which of the elements are continuous.  If, for instance,
+the distribution has three elements and the first and last element are
+continuous whereas the second element is discrete:
 
 .. code-block:: python