* Initial release on Github, PyPI, and Zenodo.
* Copied routines from JAMS package https://github.com/mcuntz/jams_python,
formatted docstrings in numpydoc format, made the code flake8 compatible,
and added extensive tests. Routines in JAMS get DeprecationWarning.
* Provide basic documentation.
* Added `tee`, which mimics the Unix/Linux tee utility, i.e. prints
arguments on screen and in a file.
* Added module `const`, which provides physical, mathematical,
computational, isotope, and material constants, such as `Pi =
3.141592653589793238462643383279502884197`.
* Added module `functions`, which provides a variety of special functions,
including common test functions for parameter estimations such as
Rosenbrock and Griewank, test functions for parameter sensitivity analysis
such as the Ishigami and Homma function, several forms of the logistic
function and its first and second derivatives, and a variety of other
functions together with robust and square cost functions to use with the
scipy.optimize package.
* Added `morris_method.py` for Morris' Method with functions
`morris_sampling` and `elementary_effects` to sample trajectories in
parameter space and to calculate Elementary Effects from model output on
trajectories.
* Added `screening.py` for applying Morris' Method on arbitrary functions,
providing the function `screening` that samples trajectories with
`morris_sampling` of `morris_method.py`, applies a function on these
trajectories, and calculates Elementary Effects with function
`elementary_effects` of `morris_method.py`.
It also provides a wrapper function `ee` for `screening`.