False discovery rate smoothing
The smoothfdr package provides an implementation of false dicovery rate smoothing as presented in the paper by Tansey et al. (arxiv link).
The documentation is still being written. To-do list includes:
- 2a) 1-d
- 2b) 2-d (rectangular)
- 2c) fMRI (non-rectangular)
All of these cases are covered by the code, but detailed examples still need to be written up.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for smoothfdr-0.9.4-py2.py3-none-any.whl