This module can be used to perform, evaluate and analyse Conventional Archetypal Analysis, Ordinal Archetypal Analysis and Response Bias Ordinal Archetypal Analysis. The module is developed by Andreas Bigom, Michael Harborg, Marcus Presutti and Oliver Elmgren in a collaboration between the Technical University of Denmark and Copenhagen Business School in order to enable students to analyse human questionnaire data in an effective and meaningful way.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file AA-module-1.0.2.tar.gz.
File metadata
- Download URL: AA-module-1.0.2.tar.gz
- Upload date:
- Size: 15.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7ec4743963fa2023ebad02abacbb27aad24b755b6988e7b3cf2f411f85e46e29
|
|
| MD5 |
d8c68196450cbcb7903dc6828de24ec1
|
|
| BLAKE2b-256 |
59abfd787588e952217e7495e5501b4ab57e92da09549073ab0399c21966513c
|
File details
Details for the file AA_module-1.0.2-py3-none-any.whl.
File metadata
- Download URL: AA_module-1.0.2-py3-none-any.whl
- Upload date:
- Size: 19.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e69e37a27c13db12e42202b58b2523d7e26104490683754d76de7d9dadf9b33
|
|
| MD5 |
dd6c832e566cc7e061fa1c91b6ea19d9
|
|
| BLAKE2b-256 |
1d1cdf1beedf9f8f0a03b72faf2c797d21de5f86da7dd91edaec91ca8fe52195
|
