Topic: statistical-tests Goto Github
Some thing interesting about statistical-tests
Some thing interesting about statistical-tests
statistical-tests,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.
User: abhishekmamidi123
statistical-tests,Python package for Bayesian & Frequentist A/B Testing
User: adivarma27
Home Page: https://pyab.readthedocs.io/
statistical-tests,Improved version of the NIST Statistical Test Suite (STS)
Organization: arcetri
statistical-tests,Uses several statistical tests / algorithms on marginal / conditional distributions
User: arnovel
statistical-tests,Hypothesis and statistical testing in Python
User: aschleg
statistical-tests,Statistical inference on machine learning or general non-parametric models
Organization: bank-of-england
statistical-tests,Unofficial mirror of TestU01, a test suite for random number generator (C library) for the empirical statistical testing of uniform random number generators
User: blep
Home Page: http://simul.iro.umontreal.ca/testu01/tu01.html
statistical-tests,pg_math extension to support statistical distribution functions for PostgreSQL
User: chanukyasds
statistical-tests,Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.
Organization: citiususc
statistical-tests,Open-source statistical package in Python based on Pandas
User: ckdckd145
statistical-tests,Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
User: darya-chyzhyk
statistical-tests,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.
User: dcwuser
Home Page: http://www.meta-numerics.net
statistical-tests,Set of functions to semi-automatically build and test Ordinary Least Squares (OLS) models in R in parallel.
User: dgwozdz
statistical-tests,Implicit generative models and related stuff based on the MMD, in PyTorch
User: djsutherland
statistical-tests,Learning kernels to maximize the power of MMD tests
User: djsutherland
Home Page: https://arxiv.org/abs/1611.04488
statistical-tests,Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
User: eigenfoo
Home Page: https://eigenfoo.xyz/tests-as-linear/
statistical-tests,Ruby gem for some statistical operations without any statistical language dependency
User: estebanz01
statistical-tests,Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
User: exploripy
Home Page: https://pypi.org/project/ExploriPy/
statistical-tests,Parcours Data Analyst OC
User: gllmfrnr
statistical-tests,Neyman–Pearson Detector (NPD) for saccadic eye movements
User: hz-zhu
Home Page: https://hz-zhu.github.io/NPD-micro-saccade-detection/
statistical-tests,This package provides functions to create descriptive statistics tables for continuous and categorical variables.
Organization: imbi-heidelberg
Home Page: https://imbi-heidelberg.github.io/DescrTab2/
statistical-tests,Tidy data frames and expressions with statistical summaries 📜
User: indrajeetpatil
Home Page: https://indrajeetpatil.github.io/statsExpressions/
statistical-tests,Monitor the stability of a Pandas or Spark dataframe ⚙︎
Organization: ing-bank
Home Page: https://popmon.readthedocs.io/
statistical-tests,ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.
User: jacksonpradolima
statistical-tests,Jupyter notebooks with examples of statistical methods and analyses using R.
User: jamesmarquezdev
statistical-tests,The Scott-Knott Effect Size Difference (ESD) test
User: klainfo
Home Page: http://chakkrit.com
statistical-tests,[PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks
Organization: kreimanlab
Home Page: https://doi.org/10.1073/pnas.1719397115
statistical-tests,Testing common random-number generators (RNG)
User: lemire
statistical-tests,Streamlining statistical analysis by using plotting keywords in Python.
User: markur4
statistical-tests,A MATLAB package for multivariate permutation testing and effect size measurement
User: mickcrosse
Home Page: https://arxiv.org/abs/2401.09401
statistical-tests,**curve_fit_utils** is a Python module containing useful tools for curve fitting
User: ndrearu
statistical-tests,Adjust p-values for multiple comparisons
User: nunofachada
statistical-tests,Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
User: olmallet81
statistical-tests,Statistical tests for Value at Risk (VaR) Models.
User: rafa-rod
statistical-tests,This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
User: raj-shr-git
statistical-tests,Statistical package in Python based on Pandas
User: raphaelvallat
Home Page: https://pingouin-stats.org/
statistical-tests,Parametric and non-parametric statistical tests
Organization: rsquaredacademy
Home Page: https://inferr.rsquaredacademy.com/
statistical-tests,Permutation algorithms to test statistical significance of experimental results.
User: searchivarius
statistical-tests,Umbrella package of the 'spatstat' family................
Organization: spatstat
statistical-tests,sub-package of spatstat containing core functionality for data analysis and modelling
Organization: spatstat
statistical-tests,Sub-package of spatstat containing all datasets
Organization: spatstat
statistical-tests,Machine learning library for classification tasks
Organization: starlangsoftware
statistical-tests,[TNNLS 2022] Significance tests of feature relevance for a black-box learner
User: statmlben
Home Page: https://dnn-inference.readthedocs.io
statistical-tests,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.
User: tatevkaren
statistical-tests,Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
User: unpingco
statistical-tests,ICML 2017. Kernel-based adaptive linear-time independence test.
User: wittawatj
statistical-tests,NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
User: wittawatj
statistical-tests,NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
User: wittawatj
statistical-tests,An R library for conducting analyses on COMPASS data.
Organization: yoseflab
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