.. _about: ===== About ===== Authors -------- DABEST is written in Python by `Joses W. Ho `_, with design and input from `Adam Claridge-Chang `_ and other `lab members `__. Additional 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. 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.