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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:

  1. Basic usage

  2. 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.

Release History

Release History

This version
History Node

0.9.4

History Node

0.9.1

History Node

0.9.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
smoothfdr-0.9.4-py2.py3-none-any.whl (34.0 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Oct 29, 2015

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