Reverse Dependencies of scikit-posthocs

The following projects have a declared dependency on scikit-posthocs:

• ABalytics — Advanced A/B Testing Statistical Analytics
• ANCOVA — Package for ANCOVA analysis and visualization.
• brainways — Brainways
• cvanmf — Bi-cross validation of NMF and signature generation and analysis
• domb — DoMB Tools: Python Toolkit of Department of Molecular Biophysics
• ds-toolbox — A ToolBox with daily helpers for the analytical part of a Data Scientist.
• ExMechEva — Evaluation of experimental mechanics data
• fullscript.spellbook — A simple package to make your life easier.
• GenExpA — Comprehensive tool based on the new workflow for qPCR data analysis
• himena-stats — Statistical testing and modeling in himena.
• ILEE-CSK — A high-performance cytoskeleton image analysis platform
• inspigtor — Analysis of physiological parameters taken from pig surgery
• LabGym — Quantify user-defined behaviors.
• latch-plots-helpers — Misc helper functions for Latch plots
• lightcycler — A software for analyzing lightcycler data
• mlaut — Automation of large-scale training, evaluation and benchmarking of machine learning algorithms.
• mousetracker — Analysis of mouse experiments data files
• napari-brainways — Brainways
• peyes — A package for eye tracking data analysis and visualization
• pigcel — Analysis of physiological parameters taken from pig surgery
• pipeGEM — Processing and integrating data with genome-scale metabolic models (GEM)
• py50 — Generate Dose-Response Curves
• py50-streamlit-support — Modified py50 for streamlit use
• pyfinch — A python package for analyzing neural & bioacoustics signals from songbirds
• pyvisstats — Python package for computing and visualizing statistics.
• rsaitehu-stats — Stats utilities
• SAES — Python library designed to analyze and compare the performance of different algorithms across multiple problems using non-parametric statistical tests
• scproximite — no summary
• sktime — A unified Python toolbox for machine learning with time series
• sktime-legacy — scikit-learn compatible toolbox for learning with time series/panel data
• slitflow — A Python framework for single-molecule dynamics and localization analysis
• spatialaudiometrics — For calculating spatial audio metrics
• superviolin — Python CLI to make Violin SuperPlots
• taplib — Python package to make statistical test and add statistical annotations on plots generated with Plotly
• thu-big-data-ml — 这是本人学习清华大学70240403-200大数据机器学习课程的开源工作，包括对往期Assignment的实现、对Lecture的笔记与理解、对即将来的Project的实现等，欢迎各位同学一起学习一起讨论，对知识取得更好的理解。