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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file smoothfdr-0.9.4-py2.py3-none-any.whl.
File metadata
- Download URL: smoothfdr-0.9.4-py2.py3-none-any.whl
- Upload date:
- Size: 34.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1905abb1331700517bfc2c1355085a8f6f6039574a80c651a1351bc8acd44005
|
|
| MD5 |
860125cc84e23817217214ee6c57347d
|
|
| BLAKE2b-256 |
99caa2e6460a746b29fceb56a8a9cd9b500c27b65a581c5956aeca5c5dcdba9e
|