False discovery rate smoothing
Project Description
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:
Basic usage
Examples
- 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.
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Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
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smoothfdr-0.9.4-py2.py3-none-any.whl (34.0 kB) Copy SHA256 hash SHA256 | Wheel | py2.py3 | Oct 29, 2015 |