hypothesis-testing

There are 6 repositories under hypothesis-testing topic.

statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
python statistics econometrics data-analysis generalized-linear-models timeseries-analysis regression-models count-model data-science forecasting hypothesis-testing prediction robust-estimation
Language:Python 9534
unionai-oss / pandera
A light-weight, flexible, and expressive statistical data testing library
pandas validation schema dataframes testing pandas-validation pandas-dataframe data-validation data-cleaning data-check testing-tools assertions data-assertions data-verification dataframe-schema hypothesis-testing pandas-validator data-processing
Language:Python 3000
ggstatsplot
IndrajeetPatil / ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
ggplot-extension dataviz r statistical-analysis datascience bayes-factors regression-models effect-size non-parametric-statistics hypothesis-testing
Language:R 1920
tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
statistics python numpy pandas numerical-analysis analytics machine-learning bayesian-statistics inferential-statistics statsmodels probability mathematics mathematical-programming matplotlib scipy data-science normal-distribution hypothesis-testing anova clustering
Language:Jupyter Notebook 786
ModernDive_book
moderndive / ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
moderndive data-science tidyverse statistical-inference r ggplot2 infer hypothesis-testing confidence-intervals regression regression-models data-visualization data-wrangling tidy rstudio rstats dplyr bootstrap-method permutation-test
Language:HTML 733
shervinea / stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
probability statistics cheatsheet hypothesis-testing distribution regression-testing
564
erdogant / distfit
distfit is a python library for probability density fitting.
probability-distribution fitting-curve hypothesis-testing sse probability-statistics pdf density-functions pypi cumulative-distribution-function kolmogorov-smirnov plot qqplot
Language:Jupyter Notebook 336
deep-significance
Kaleidophon / deep-significance
Enabling easy statistical significance testing for deep neural networks.
significance-testing deep-learning dl hypothesis-testing hypothesis-tests statistical-significance statistical-significance-test machine-learning ml deeplearning machinelearning compare-scores deep-neural-networks
Language:Python 315
JuliaStats / HypothesisTests.jl
Hypothesis tests for Julia
julia hypothesis-testing statistics hacktoberfest
Language:Julia 287
neurodata / hyppo
Python package for multivariate hypothesis testing
independence python ksample-testing data-science hypothesis-testing hacktoberfest
Language:Python 214
data-science-toolkit
pmaji / data-science-toolkit
Collection of stats, modeling, and data science tools in Python and R.
r python machine-learning statistics data-science data-visualization tidyverse modeling reinforcement-learning hypothesis-testing classification regression kolmogorov-smirnov logistic-regression ggplot2 distributional-analysis econometrics statistical-analysis data-mining natural-language-processing
Language:HTML 210
djsutherland / opt-mmd
Learning kernels to maximize the power of MMD tests
machine-learning hypothesis-testing generative-adversarial-network maximum-mean-discrepancy shogun theano tensorflow python kernel-methods statistical-tests
Language:Python 205
majianthu / pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
copula-entropy mutual-information causal-discovery variable-selection granger-causality transfer-entropy correlation normality-test information-theory causality python copula hypothesis-testing two-sample-test conditional-independence-test conditional-mutual-information change-point-detection entropy change-detection changepoint
Language:Python 132
Pegah-Ardehkhani / Statistics-and-Probability-in-Python
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
hypothesis-testing probability probability-theory python random-variables statiscal-learning statistics statistical-hypothesis-testing parametric-hypothesis-tests confidence-intervals continuous-distributions discrete-distributions inferential-statistics python-statistics scipy statistics-for-data-science statistics-using-python p-value matplotlib regression
Language:Jupyter Notebook 119
xrobin / pROC
Display and analyze ROC curves in R and S+
roc cran r roc-curve bootstrapping hypothesis-testing plot plotting variance covariance machine-learning r-package
Language:R 114
yug95 / MachineLearning
Machine learning for beginner(Data Science enthusiast)
machine-learning deep-learning algorithms python3 neural-network tensorflow andrew-ng regression classification timeseries hypothesis-testing t-test z-test chi-square-test anova market-basket-analysis recommendation-engine recommendation-system scraping
Language:Jupyter Notebook 110
puolival / multipy
Multiple hypothesis testing in Python
multiple-comparisons python statistics false-discovery-rate fwer bonferroni fdr sidak q-value p-value hypothesis-testing permutation-algorithms data-visualization random-field-theory neuroscience reproducibility two-group-model r-value
Language:Python 99
weijie-chen / Basic-Statistics-With-Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
data-science mathematics econometrics frequentist-statistics probability parameter-estimation hypothesis-testing anova-analysis descriptive-statistics
Language:Jupyter Notebook 93
PacktWorkshops / The-Data-Analysis-Workshop
A New Interactive Approach to Learning Data Analysis
data data-analysis python hypothesis-testing visual-analysis kolmogorov-smirnov-tests linear-regression logistic-regression pandas-profiling clustering univariate-analysis bivariate-analysis visualizations exploratory-data-analysis feature-engineering
Language:Jupyter Notebook 63
Alcampopiano / hypothesize
Robust statistics in Python
statistics robust-statistics python r hypothesis-testing data-analysis stats null-hypothesis confidence-intervals significance-testing
Language:Python 62
aschleg / hypothetical
Hypothesis and statistical testing in Python
hypothesis python statistics analysis comparison-tests statistical-tests statistics-library statistical-inference inferential-statistics nonparametric-statistics nonparametric-tests frequentist-statistics frequentist-methods hypothesis-testing
Language:Python 59
Wilfred / propcheck
Quickcheck/hypothesis style testing for elisp
emacs-lisp hypothesis-testing quickcheck
Language:Emacs Lisp 59
andy489 / Empirical_Methods_and_Statistics
Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.
expectations moments r statistics hypothesis hypothesis-testing regression regression-analysis regression-testing
Language:R 46
fengliu90 / DK-for-TST
This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
two-sample-test hypothesis-testing
Language:Python 44
JuliaDynamics / TimeseriesSurrogates.jl
A Julia package for generating timeseries surrogates
timeseries nonlinear-time-series surrogate surrogates hacktoberfest hypothesis-testing julia
Language:Julia 44
ligurio / lark-grammars
Grammars suitable for lark parser and Hypothesis
hypothesis property-based-testing lark grammars testing hypothesis-tests hypothesis-testing quality-assurance lark-grammars grammar-fuzzer
Language:Python 40
tirthajyoti / R-stats-machine-learning
Misc Statistics and Machine Learning codes in R
r machine-learning statistics regression principal-component-analysis classification support-vector-machines neural-network clustering k-means hypothesis-testing nearest-neighbors random-forest decision-trees
Language:R 39
RafaelArutjunjan / InformationGeometry.jl
Methods for computational information geometry
geodesics kullback-leibler-divergence confidence-regions fisher-information hypothesis-testing manifolds parameter-inference profile-likelihood
Language:Julia 37
karoliskoncevicius / matrixTests
R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame
r package matrix rows fast hypothesis-testing t-test anova wilcoxon-test
Language:R 35
fgcz / prolfqua
Differential Expression Analysis tool box R lang package for omics data
proteomics-data-analysis rstats-package hypothesis-testing quality-control r-package differential-expression-analysis protein-quantification
Language:R 34
JetBrains-Research / bioinf-commons
Bioinformatics library in Kotlin
bioinformatics kotlin dataframe dataset bam bed fasta fastq 2bit methylation chip-seq dna-sequence sampling mixture hmm hypothesis-testing cancellable progress
Language:Kotlin 31
bhaskatripathi / HypothesisHub
An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature
hypothesis-testing literature-review-tool research-questions scientific-publications
Language:Jupyter Notebook 29
rjjfox / ab-test-calculator
AB test calculator run through Streamlit
ab-test-calculator streamlit python statistics bayesian frequentist hypothesis-testing
Language:Python 27
shashikumarraja / pytest_tutorial
pytest hypothesis-testing python testing automation
Language:Python 26
thtang / Business-Analytics-Using-Statistical-Modeling
BASM - 2017 Spring
business-analytics statistics bootstrapping-statistics regression anova design-of-experiments hypothesis-testing r-programming
Language:HTML 25
nirupamaprv / Analyze-AB-test-Results
E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
ab-testing hypothesis-testing logistic-regression p-value e-commerce landing-page statsmodels conversion-tracking
Language:HTML 23

hypothesis-testing

statsmodels / statsmodels

unionai-oss / pandera

IndrajeetPatil / ggstatsplot

tirthajyoti / Stats-Maths-with-Python

moderndive / ModernDive_book

shervinea / stanford-cme-106-probability-and-statistics

erdogant / distfit

Kaleidophon / deep-significance

JuliaStats / HypothesisTests.jl

neurodata / hyppo

pmaji / data-science-toolkit

djsutherland / opt-mmd

majianthu / pycopent

Pegah-Ardehkhani / Statistics-and-Probability-in-Python

xrobin / pROC

yug95 / MachineLearning

puolival / multipy

weijie-chen / Basic-Statistics-With-Python

PacktWorkshops / The-Data-Analysis-Workshop

Alcampopiano / hypothesize

aschleg / hypothetical

Wilfred / propcheck

andy489 / Empirical_Methods_and_Statistics

fengliu90 / DK-for-TST

JuliaDynamics / TimeseriesSurrogates.jl

ligurio / lark-grammars

tirthajyoti / R-stats-machine-learning

RafaelArutjunjan / InformationGeometry.jl

karoliskoncevicius / matrixTests

fgcz / prolfqua

JetBrains-Research / bioinf-commons

bhaskatripathi / HypothesisHub

rjjfox / ab-test-calculator

shashikumarraja / pytest_tutorial

thtang / Business-Analytics-Using-Statistical-Modeling

nirupamaprv / Analyze-AB-test-Results