Completed module infrastructure

README.md

@@ -2,20 +2,28 @@
 
 Tools for solving robust optimal contribution selection problems in Python. All code and examples in RobustOCS are fully and freely available for all use under the MIT License.
 
-## Dependencies
+## Installation
 
-It depends on Python 3.10+, using [NumPy](https://pypi.org/project/numpy) for linear algebra and [SciPy](https://scipy.org) for sparse matrix objects. As a solver it can either use:
+The latest release can be installed from the [PyPI repository](https://pypi.org/project/robustocs/) using
 
-- [Gurobi](https://www.gurobi.com) (commercial) via [gurobipy](https://pypi.org/project/gurobipy),
-- [HiGHS](https://highs.dev) (free software) via [highspy](https://pypi.org/project/highspy).
+```bash
+pip install robustocs
+```
 
-**NOTE**: Gurobi don't yet have [NumPy v2 support]. By extension, this module will continue to use NumPy 1.2x only until gurobipy is updated.
+Alternatively, it use the latest (potentially unstable) version from GitHub, use
+
+```bash
+git clone https://github.com/Foggalong/RobustOCS.git
+pip install RobustOCS/
+```
+
+Either way, the package depends on Python 3.10+, using [NumPy](https://pypi.org/project/numpy) for linear algebra and [SciPy](https://scipy.org) for sparse matrix objects. As a solver it can either use [Gurobi](https://www.gurobi.com) (commercial) via [gurobipy](https://pypi.org/project/gurobipy) or [HiGHS](https://highs.dev) (free software) via [highspy](https://pypi.org/project/highspy).
 
 [NumPy v2 support]: https://support.gurobi.com/hc/en-us/articles/25787048531601-Compatibility-issues-with-numpy-2-0
 
 ## Examples
 
-The [GitHub wiki] includes documentation written by which explains the usage and parameters in more detail, alongside some worked examples (the code for which is in [`examples/`](examples/)). This includes a realistic simulated example from [Gregor Gorjanc] and [Ivan Pocrnić].
+The [GitHub wiki] includes documentation written by which explains the usage and parameters in more detail, alongside some worked examples (the data for which is in [`examples/`](examples/)). This includes a realistic simulated example from [Gregor Gorjanc] and [Ivan Pocrnić].
 
 [GitHub wiki]: https://github.com/Foggalong/RobustOCS/wiki
 [Gregor Gorjanc]: https://www.ed.ac.uk/profile/gregor-gorjanc

robustocs/__init__.py

@@ -9,6 +9,9 @@
 from .solvers import *
 from .utils import *
 
+__author__ = "Josh Fogg"
+__version__ = "0.0.1"
+
 # controls what's imported on `from robustocs import *`
 __all__ = [
     # from loaders.py