Project description

dealib is a library developed in Python for conducting Data Envelopment Analysis (DEA).

For more details see documentation.

Library provides following models and options:

Models:

1. Envelopment model
2. Multiplier model
3. Slack model
4. Additive model
5. Super-efficiency model
6. Direct model
7. Multi-directional model

Orientation:

1. Input
2. Output

Returns to scale (RTS):

1. Variable returns to scale (VRS)
2. Constant returns to scale (CRS)
3. Decreasing returns to scale (DRS)
4. Increasing returns to scale (IRS)

Source

The latest version can be found here

Installation

Using pip

pip install dealib

Using git

git clone https://github.com/ArtyomViryutin/dealib.git