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-1.1.0a2.tar.gz (3.9 MB view details)

Uploaded Source

File details

Details for the file BATS-1.1.0a2.tar.gz.

File metadata

  • Download URL: BATS-1.1.0a2.tar.gz
  • Upload date:
  • Size: 3.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for BATS-1.1.0a2.tar.gz
Algorithm Hash digest
SHA256 71280227f90d7ac2ef2e2fb48e63151601905f2b82c3bbdfa58c4af75d4e44c9
MD5 b7be504b635585a30fe7e5d2960ae2a8
BLAKE2b-256 408168138a41f348ea0f5d3a2e61a6ff87c6e2bcedf237105ec71476dca71c2d

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