A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
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Updated
Jun 8, 2024 - Python
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Use bootstrap resampling to estimate the sampling distribution of a statistic
Package provides python implementation of statistical inference engine
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
Calculate confidence intervals for correlation coefficients
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
Basic Statistic operations using Python
Analyse efficacy of your own methods for calculating confidence interval
a small program for calculating and plotting confidence intervals used in psychodiagnostics
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