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Project description

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

User documentation can be found https://artyomviryutin.github.io/dealib.

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 at https://github.com/ArtyomViryutin/dealib

Installation

Using pip

pip install dealib

Using git

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

Release files for dealib 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dealib 1.0.0
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Built distribution (wheel)

Table of built distributions (wheels) for dealib 1.0.0
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dealib-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.6 MB

Release files / dealib-1.0.0.tar.gz

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