CEREsFit

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Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.

CEREsFit 최신버젼 다운로드

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# CEREsFit

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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

The goal of CEREsFit (Correlated Errors Regression Estimate Fit)
is to provide a python package
that allows to calculate linear regressions on data sets with correlated uncertainties.
The calculations follow the methodology published by
[Mahon (1996)](https://doi.org/10.1080/00206819709465336).
Typos and errors that were made in that work have been corrected.
A method to allow calculating a linear regression through a fixed point,
avoiding previously made errors,
is also provided.

Details on CEREsFit can be found in [Stephan and Trappitsch (2023)](https://doi.org/10.1016/j.ijms.2023.117053).

## Installation

The package can be installed from `pypi` via:

```
pip install ceresfit
```

## Usage

Below is an example on how to use the package.

```python
>>> import numpy as np
>>> from ceresfit import LinReg

>>>  # some data
>>> xdata = np.array([1, 2, 3.1, 4.9])
>>> ydata = np.array([1.1, 1.9, 3, 5.5])

>>>  # some uncertainty and correlation
>>> xunc = 0.05 * xdata
>>> yunc = 0.073 * ydata
>>> rho = np.zeros_like(xdata) + 0.5

>>>  # do regression
>>> my_reg = LinReg(xdata, xunc, ydata, yunc, rho)

>>>  # print out the parameters and their uncertainties
>>> my_reg.slope
(0.9983613298400896, 0.06844666435449052)
>>> my_reg.intercept
(0.05545398718611372, 0.11812746374874884)
>>> my_reg.mswd
2.5105964767071143

```

Detailed example on how to use the class for fitting and plotting the results
can be found
[in these Jupyter notebooks](https://github.com/galactic-forensics/CEREsFit/tree/main/examples).

## Development & Contributing

This project is developed using [Rye](https://rye-up.com/).
After cloning,
you can simply run

```rye sync```

in the project folder and you should be good to go.

Code auto formatting is implemented using
[`pre-commit`](https://pre-commit.com/) hooks.

For local formatting and linting,
please use

```
rye fmt
rye lint
```

For running tests, use:

```
rye test
rye run test_docs
```

The first of these commands runs `pytest`,
the second checks the documentation tests using `xdoctest`.

Please feel free to raise issues on GitHub
and open pull requests if you have a feature to be added.
Tests and adequate docstrings should be provided along with your new code.

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