Metadata-Version: 2.4
Name: lambast
Version: 0.1.3
Summary: Los Alamos Model Bias Assessment and Statistical Toolkit
Author-email: Natalie Elizabeth Klein <neklein@lanl.gov>, Nidhi K Parikh <nidhip@lanl.gov>, Samuel Thomas Wilkins Myren <myrenst@lanl.gov>, Nishant Panda <nishpan@lanl.gov>, Amber Joule Day <aday@lanl.gov>
Maintainer-email: Andrés Yagüe López <ayaguelopez@lanl.gov>
License-Expression: BSD-3-Clause
Project-URL: Homepage, https://github.com/lanl/lambast
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: pandas
Requires-Dist: ruptures
Requires-Dist: torch
Requires-Dist: h5py
Requires-Dist: scikit-learn
Dynamic: license-file

# LAMBAST - Los Alamos Model Bias Assessment and Statistical Toolkit

## Installation

You can install LAMBAST with

    pip install lambast

## Use

Simply `import lambast.<module>` in your python script.

### Overview

LAMBAST consists currently of 3 modules:

- detection_methods
- generate_data
- utils

Each of these modules can be explored using `help` from the python REPL, for
example:

```python-repl
>>> from lambast import generate_data
>>> help(generate_data)
>>> help(generate_data.copulas)
```

### Examples

See the `lambast/examples` directory for examples on how to use lambast.

# Open-source Code Assertion
This code is released under O4950.
