Linear regression with Monte Carlo error analysis
Project description
linregmc package (Linear regression with Monte Carlo error analysis)
This package is a single module which contains four functions:
addnoise - introduce noise in the data based on known experimental precision
linreg - perform multiple linear regressions and calculate goodness-of-fit
confidence - get confidence intervals, plot distributions etc.
linconf - do all the steps in succession, including possible transformation of the data
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 linregmc-0.1.1.tar.gz.
File metadata
- Download URL: linregmc-0.1.1.tar.gz
- Upload date:
- Size: 6.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29452feb63aa37e04e18db1043bc405120082a3dc59cc8c2e0c714fbfefaf749
|
|
| MD5 |
b23a26745ad306aa54ddd84929edb843
|
|
| BLAKE2b-256 |
84bff30c6cc9f5b95a16b542c4fb5e1b41fde09d31564e0f58764e5ca30616b6
|
File details
Details for the file linregmc-0.1.1-py3-none-any.whl.
File metadata
- Download URL: linregmc-0.1.1-py3-none-any.whl
- Upload date:
- Size: 7.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
766054ecab866aff96123ba86a775e7f6f9995091e41ec3f65d903016bb79da6
|
|
| MD5 |
d3e635bfa0be5758d06e7a872ba54ae5
|
|
| BLAKE2b-256 |
cf0b225110e97078fa9ba8a96e080ca495f4f35b6d55b9e3f6a4bab81016b964
|
