Properly fit data with x and y errors
Project description
HyperFit
A neat python package for fitting N dimensional data with (possibly covariant) errors with an N-1 dimensional plane. Put simply, if you have data with x and y errors and you want the correct method for fitting a straight line, use this package! But it also works for higher dimensions. Examples, tutorials and API here: https://hyperfit.readthedocs.io/en/latest/
Based on the R HyperFit package by Aaron Robotham and Danail Obreschkow. More details on the method can be found here: https://ui.adsabs.harvard.edu/abs/2015PASA...32...33R/abstract. Please cite this paper if you use this package.
Project details
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 hyperfit-0.1.7.tar.gz.
File metadata
- Download URL: hyperfit-0.1.7.tar.gz
- Upload date:
- Size: 237.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27931849cbda5a384fd63c06d947a19f7dbd62d18a40e4c1a593474558f33532
|
|
| MD5 |
d169958abd18c7d7a808b40aff1fa636
|
|
| BLAKE2b-256 |
d61d970d97a77fbfd4243cbb836d45acb63d917e266eb4498bc095c3b6cac635
|
File details
Details for the file hyperfit-0.1.7-py3-none-any.whl.
File metadata
- Download URL: hyperfit-0.1.7-py3-none-any.whl
- Upload date:
- Size: 245.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
01a993391d2c776f564ffc55ae0f40d96188a3c1d368a28334de93ce1d0a6fc8
|
|
| MD5 |
4bcd585f96ddf228c5bdd6ee1a6847c1
|
|
| BLAKE2b-256 |
2966dc023a5a105358b3d4474f0c20f91086e546260506c9d35599a5a8ddcc98
|