Skip to main content

https://github.com/ContaTP/BATS-Bayesian-Adaptive-Trial-Simulator

Project description

Bayesian Adaptive Trial Simulator (BATS) is a Qt-based software used to perform simulation for Bayeisan Multi-arm Multi-stage design.

Installation

$ pip install BATS

Dependencies:

  • Numpy

  • Pandas

  • Matplotlib

  • Cython

  • cythonGSL

  • PyQt5

Other dependencies:

The module requires GSL, https://www.gnu.org/software/gsl/ to be installed on user’s operating system, because it use the GSL module to draw random variables and calculate choose functions.

Usage

import BATS
BATS.__init__()

Authors of the code: Zhenning Yu Contact: yuzhenning.bio@gmail.com

License

The software is distributed under GPLv3. See License for details

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

BATS-1.1.0a3.tar.gz (3.9 MB view details)

Uploaded Source

File details

Details for the file BATS-1.1.0a3.tar.gz.

File metadata

  • Download URL: BATS-1.1.0a3.tar.gz
  • Upload date:
  • Size: 3.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for BATS-1.1.0a3.tar.gz
Algorithm Hash digest
SHA256 45330ba30c89aeef2706801c5490178b5a76778a94f2ac63b6c075ce7d552d0b
MD5 def02a6d3029888b5351484467756781
BLAKE2b-256 1c5ca0d07165e46a0b441101928b9d731efc658269c9c389feb6c9d2d95e6ade

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page