PAMS: Platform for Artificial Market Simulations
Project description
pams
PAMS: Platform for Artificial Market Simulations
Documentations & User Guides
Documentations are available on readthedoc
Install
This package is available on pypi as pams
$ pip install pams
$ python
>> import pams
Citation
If you consider cite our work, please use the following arxiv entry:
@misc{Hirano2023-pams,
title={{PAMS: Platform for Artificial Market Simulations}},
author={Masanori HIRANO, Ryosuke TAKATA, Kiyoshi IZUMI},
year={2023},
doi = {10.48550/arXiv.2309.10729}
}
https://arxiv.org/abs/2309.10729
If you prefer to cite this package directly, please use the following bibtex entry:
@misc{Hirano2022-pams,
title={{PAMS: Platform for Artificial Market Simulations}},
author={Masanori HIRANO, Ryosuke TAKATA, Kiyoshi IZUMI},
year={2022},
url = {https://github.com/masanorihirano/pams}
}
Issues and Contribution
About issues (bugs):
- You can report issues here.
- There are no guarantee to support or fix those issues.
Contributions:
- You can send pull requests (PRs) to this repository.
- But, there are no guarantee to merge your PRs.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pams-0.2.1.tar.gz
(43.9 kB
view details)
Built Distribution
pams-0.2.1-py3-none-any.whl
(58.5 kB
view details)
File details
Details for the file pams-0.2.1.tar.gz
.
File metadata
- Download URL: pams-0.2.1.tar.gz
- Upload date:
- Size: 43.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.8 Linux/6.5.0-1016-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f985eb8048655aa0450ffe5756dcdcb7c3a29e61a3a93890fdf48f5d4815ecbb |
|
MD5 | d6679bcf22138e9b378f078c318a9dfd |
|
BLAKE2b-256 | 1373cba2b22602b6a880694ecd7dc43a5c120c9069cf66c096c8dd26d423b3c8 |
File details
Details for the file pams-0.2.1-py3-none-any.whl
.
File metadata
- Download URL: pams-0.2.1-py3-none-any.whl
- Upload date:
- Size: 58.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.11.8 Linux/6.5.0-1016-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d3c4c005b69c6fbaa1ae5e28f39cef20191f45e61fb081e299052f360f8f007 |
|
MD5 | 8aca15e3de9180b30f6cd587aacb2345 |
|
BLAKE2b-256 | f9589eed3de14ea546ac0fe941218b4ae92684a55dcf441dbf67314fd56ded05 |