Update README & setup for v0.0.2

Moving to v0.0.2 to update documentation and PyPi
description/classifiers.

README.md

@@ -1,13 +1,11 @@
 # BIRDMAn
 
 [![GitHub Actions CI](https://github.com/gibsramen/birdman/workflows/BIRDMAn%20CI/badge.svg)](https://github.com/gibsramen/BIRDMAn/actions)
-[![Documentation Status](https://readthedocs.org/projects/birdman/badge/?version=latest)](https://birdman.readthedocs.io/en/latest/?badge=latest)
+[![Documentation Status](https://readthedocs.org/projects/birdman/badge/?version=stable)](https://birdman.readthedocs.io/en/stable/?badge=stable)
 [![PyPI](https://img.shields.io/pypi/v/birdman.svg)](https://pypi.org/project/birdman)
 
 **B**ayesian **I**nferential **R**egression for **D**ifferential **M**icrobiome **An**alysis (**BIRDMAn**) is a framework for performing differential abundance analysis through Bayesian inference.
 
-Much of the code in this repository has been adapted from and inspired by [Jamie Morton](https://mortonjt.github.io/probable-bug-bytes/probable-bug-bytes/differential-abundance/).
-
 ## Installation
 
 Currently BIRDMAn requires Python 3.7 or higher.
@@ -21,4 +19,4 @@ pip install birdman
 
 You have to install `cmdstan` through the `cmdstanpy.install_cmdstan` function first. See the [CmdStanPy documentation](https://mc-stan.org/cmdstanpy/installation.html#install-cmdstan) for details.
 
-See the [documentation](https://birdman.readthedocs.io/en/latest/?badge=latest) for details on usage.
+See the [documentation](https://birdman.readthedocs.io/en/stable/?badge=stable) for details on usage.

setup.py

@@ -1,10 +1,10 @@
+# Inspired by the EMPress setup.py file
 from setuptools import find_packages, setup
 
-__version__ = "0.0.1"
+__version__ = "0.0.2"
 
-# Inspired by the EMPress classifiers
 classifiers = """
-    Development Status :: 2 - Pre-Alpha
+    Development Status :: 3 - Alpha
     License :: OSI Approved :: BSD License
     Programming Language :: Python :: 3.7
     Programming Language :: Python :: 3.8
@@ -14,13 +14,21 @@
     Operating System :: MacOS :: MacOS X
     Topic :: Scientific/Engineering :: Bio-Informatics
 """
-short_desc = "Framework for differential abundance using Bayesian inference"
+short_desc = (
+    "Framework for differential microbiome abundance using Bayesian "
+    "inference"
+)
+
+with open('README.md') as f:
+    long_description = f.read()
 
 setup(
     name="birdman",
     author="Gibraan Rahman",
     author_email="[email protected]",
     description=short_desc,
+    long_description=long_description,
+    long_description_content_type="text/markdown",
     url="https://github.com/gibsramen/BIRDMAn",
     version=__version__,
     license='BSD-3-Clause',
@@ -38,5 +46,5 @@
         "arviz"
     ],
     extras_require={"dev": ["pytest", "scikit-bio", "sphinx"]},
-    classifiers=classifiers
+    classifiers=[s.strip() for s in classifiers.split('\n') if s]
 )