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

Statistical package in Python based on Pandas

Learning kernels to maximize the power of MMD tests

Umbrella package of the 'spatstat' family................

Monitor the stability of a Pandas or Spark dataframe ⚙︎

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

Improved version of the NIST Statistical Test Suite (STS)

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

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

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

Testing common random-number generators (RNG)

Tidy data frames and expressions with statistical summaries 📜

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

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

Ruby gem for some statistical operations without any statistical language dependency

The Scott-Knott Effect Size Difference (ESD) test

Statistical inference on machine learning or general non-parametric models

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.

Hypothesis and statistical testing in Python