statistical-tests

Statistical package in Python based on Pandas

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Tidy Dataframes and Expressions with Statistical Details 📉 📜🔣✅

Learning kernels to maximize the power of MMD tests

Monitor the stability of a pandas or spark dataframe ⚙︎

Development version of 'spatstat' package ..............................

Testing common random-number generators (RNG)

Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Improved version of the NIST Statistical Test Suite (STS)

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Hypothesis and statistical testing in Python

Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

Statistical inference on machine learning or general non-parametric models

Parametric and non-parametric statistical tests

Jupyter notebooks with examples of statistical methods and analyses using R.

The Scott-Knott Effect Size Difference (ESD) test

Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.

Implicit generative models and related stuff based on the MMD, in PyTorch

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

ICML 2017. Kernel-based adaptive linear-time independence test.

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

[PNAS2018] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks

Unofficial mirror of TestU01, a test suite for random number generator (C library) for the empirical statistical testing of uniform random number generators

Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.

Uses several statistical tests / algorithms on marginal / conditional distributions

Python package for Bayesian & Frequentist A/B Testing