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:
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.
1 maintainer
Metadata
1 maintainer
Release files for smoothfdr 0.9.4
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| File | Interpreter | ABI | Platform | Reset |
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| smoothfdr-0.9.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / smoothfdr-0.9.4-py2.py3-none-any.whl
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| Tags | Python 2 Python 3 |
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