Simplify the package README

README.rst

@@ -4,24 +4,13 @@ Bootstrap particle filter for epidemic forecasting
 Description
 -----------
 
-This package implements a bootstrap particle filter, intended for use with
-mechanistic infection models to generate forecasts for epidemic outbreaks.
-
-Documentation
---------------
-
-The documentation is `available online <https://pypfilt.readthedocs.io/>`_ and
-can be built locally with `sphinx <http://sphinx-doc.org/>`_::
-
-    python setup.py build_sphinx
-
-Note that the `sphinx_rtd_theme <https://github.com/snide/sphinx_rtd_theme/>`_
-theme must be installed.
+A bootstrap particle filter that can be used for recursive Bayesian estimation and forecasting.
+See the `online documentation <https://pypfilt.readthedocs.io/>`_ for tutorials, how-to guides, and API documentation.
 
 License
 -------
 
-The code is distributed under the terms of the BSD 3-Clause license (see
+The code is distributed under the terms of the `BSD 3-Clause license <https://opensource.org/licenses/BSD-3-Clause>`_ (see
 ``LICENSE``), and the documentation is distributed under the terms of the
 `Creative Commons BY-SA 4.0 license
 <http://creativecommons.org/licenses/by-sa/4.0/>`_.
@@ -29,17 +18,14 @@ The code is distributed under the terms of the BSD 3-Clause license (see
 Installation
 ------------
 
-Clone this repository and execute::
+To install the latest release::
 
-    python setup.py install
+    pip install pypfilt
 
-If you don't have admin rights, install the package locally::
+To install the latest release with plotting support (requires `matplotlib <http://matplotlib.org/>`_)::
 
-    python setup.py install --user
+    pip install pypfilt[plot]
 
-Dependencies
-------------
+To install the latest development version, clone this repository and run::
 
-This package requires `h5py <http://www.h5py.org/>`_ 2.2 or newer,
-`NumPy <http://www.numpy.org/>`_ 1.8 or newer, and
-`SciPy <http://www.scipy.org/>`_ 0.11 or newer.
+    pip install .