Contents
- 1. Start
- What FALCONAge is
- Install
- Getting started
- Using FALCONAge from Claude
- 2. Your data
- Loading your data
- Preprocessing and coverage
- Raw arrays to betas
- 3. Clocks
- Choosing a clock
- What a score means
- Clock catalogue
- 4. Analysis
- Age acceleration
- Uncertainty
- Clinical chemistry and survival
- Benchmarking
- Beyond the clock score
- Figures and reports
- Figure gallery
- 5. Methods
- The science of aging clocks
- Biology and measurement
- Algorithm families
- Published formulas
- The clocks, by family
- Genotype and structure
- Building a clock
- Failure modes and the frontier
- Datasets and resources
- 6. Reference
- Python reference
- R reference
- References
- 7. Developer notes
- Architecture
- Core engine and registry
- Algorithms
- Modules
- R package
- Docker, testing and CI
- GPU support
- Design history
- Other software
- Appendices

Download
- Documentation (PDF)
- Documentation (markdown ZIP)

1. Start
2. Your data
3. Clocks
4. Analysis
5. Methods
6. Reference
7. Developer notes

Bhagesh Hunakunti
GPL-3.0-or-later · source

On this page

detectable_effect

Report an issue
View source

detectable_effect

detectable_effect(clock, n_per_group, **kw)

The smallest effect a given n can see. The inverse of :func:power.

Report an issue
View source