Early signs, faster decisions. A Python library for sequential/safe testing (alpha-spending, e-processes, etc.).
Project description
EarlySign
Early signs, faster decisions.
What is this?
EarlySign is a Python library for sequential/safe testing (alpha-spending, e-processes, etc.).
- Group sequential tests for interim analysis
- By using alpha-spending functions to control the overall Type I error rate, you can stop early for efficacy or futility, making your experiments more efficient without compromising statistical integrity. This approach allows for a pre-specified number of interim analyses during an experiment.
- e-processes for anytime-valid inference
- It allows you to continuously monitor your experiments and make decisions as soon as the evidence is strong enough, without waiting for a predetermined sample size. This can lead to faster conclusions, saving time and resources, while maintaining statistical rigor.
Quick Start
pip install earlysign
Please check our up-to-date documentation site for explanations, references, how-to's, and tutorials.
Usage
This library supports the following steps in your experimentation.
- Planning / Designing
- Executing / Analyzing
- Reporting / Visualizing
- (optionally) Educating
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