No project description provided
Project description
STAR_outliers (Skew and Tail-heaviness Adjusted Removal of outliers) is an open source python package that determines which points are outliers relative to their distributions shapes. An exponential tail fit is used to determine outlier status if the distribution behaves in a sufficiently exponential-like manner. Otherwise, the data is transformed and fitted to a four parameteter tukey distribution as described in the paper titled 'Outlier identification for skewed and/or heavy-tailed unimodal multivariate distributions'.
please visit the github page for more information.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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 STAR_outliers-0.0.3.tar.gz.
File metadata
- Download URL: STAR_outliers-0.0.3.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c408ad53c88fab67b7f536b4014841a2d78d7dfedc2fcf7ffa7de252814fa7e
|
|
| MD5 |
df0fb95f3dfe31d296afb1e983f387c1
|
|
| BLAKE2b-256 |
adaa0dbe2145369b5eb5125e666d544f2c86285e8d4167caffbbc43a69876cd0
|
File details
Details for the file STAR_outliers-0.0.3-py3-none-any.whl.
File metadata
- Download URL: STAR_outliers-0.0.3-py3-none-any.whl
- Upload date:
- Size: 10.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bcbc1a0c3d5b986d28f5e8f1ff87a748e16093fa56adebfd38eb5d221b124a86
|
|
| MD5 |
491bad7f613094819f9b9d6cc0fb1d5d
|
|
| BLAKE2b-256 |
eb908da3665b80b23572cb4110efc8a80708b4f93628f54da1b636859a613105
|
