About

Authors

DABEST is written in Python by Joses W. Ho, with design and input from Adam Claridge-Chang and other lab members.

Features in v2024.03.29 were added by Zinan Lu, Kah Seng Lian, Ana Rosa Castillo.

Features in v2023.02.14 were added by Yixuan Li, Zinan Lu and Rou Zhang.

To find out more about the authors’ research, please visit the Claridge-Chang lab webpage.

Contributors

  • Statistics supervision by Hyungwon Choi

  • Alpha testers from the Claridge-Chang lab: Sangyu Xu, Xianyuan Zhang, Farhan Mohammad, Jurga Mituzaitė, Stanislav Ott, Tayfun Tumkaya, Jonathan Anns, Nicole Lee and Yishan Mai.

  • DizietAsahi (DizietAsahi) with PR #86: Fix bugs in slopegraph and reference line keyword parsing.

  • Adam Li (@adam2392) with PR #85: Implement Lq-Likelihood-Ratio-Type Test in statistical output.

  • Mason Malone (@MasonM) with PR #30: Fix plot error when effect size is 0.

  • Matthew Edwards (@mje-nz) with PR #71: Specify dependencies correctly in setup.py.

  • Adam Nekimken (@anekimken) with PR #73: Implement inset axes so estimation plots can be plotted on a pre-determined :py:mod:matplotlib :py:class:Axes object.

  • Marin Manuel (@MarinManuel) with PR #109: Fixed bug preventing non-string columns from being used.

Typography

This documentation uses Spectral for the body text, Merriweather Sans for the side bar and titles, and IBM Plex Mono for the monospace code font.

License

The DABEST package in Python is licenced under the BSD 3-clause Clear License.

Copyright (c) 2016-2023, Joses W. Ho All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:

 * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

 * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

 * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY’S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.