semvec/pypi-packages huggingface dataset:
py-fractreg 0.0.1
Regression Models for Fractional Outcomes

#### Introduction

The package py\_fractreg is a collection of functions to estimate various regression models for fractional outcomes
in the range of (0, 1). In the context of credit risk, LGD (loss given default) measures the proportion of losses 
not recovered from a default borrower. Therefore, the fractional outcome models can be useful to estimate LGD. 

```
Fractional Outcome Regressions
  |
  |-- Beta Regression
  |     |
  |     |-- beta0_reg() : Fixed Dispersion
  |     |
  |     `-- beta_reg()  : Varying Dispersion
  |
  `-- Simplex Regression
        |
        |-- simplex0_reg() : Fixed Dispersion
        |
        `-- simplex_reg()  : Varying Dispersion
```

#### Reference

WenSui Liu and Jason Xin (2014), Modeling Fractional Outcomes with SAS, Proceedings SAS Global Forum 2014, paper 1304-2014.
lifefit 1.0.4
Reconvolution fitting of TCSPC histograms
Keywords: TCSPC,fluorescence,lifetime,anisotropy

# <img src="https://raw.githubusercontent.com/fdsteffen/Lifefit/master/docs/source/_static/lifefit_logo.png" width="50">LifeFit
[![Build Status](https://github.com/fdsteffen/LifeFit/workflows/LifeFit%20build/badge.svg)](https://github.com/fdsteffen/LifeFit/actions)
[![Documentation Status](https://readthedocs.org/projects/lifefit/badge/?version=latest)](https://lifefit.readthedocs.io/en/latest/?badge=latest)
[![PyPI](https://img.shields.io/pypi/v/lifefit)](https://pypi.org/project/lifefit/)
[![Anaconda-Server Badge](https://anaconda.org/fdsteffen/lifefit/badges/installer/conda.svg)](https://anaconda.org/fdsteffen/lifefit)

## What is LifeFit
LifeFit is a Python package to analyze **time-correlated single-photon counting (TCSPC)** data sets, namely **fluorescence lifetime** and **time-resolve anisotropy** decays.

## Webserver
You can run LifeFit directly in your browser: https://tcspc-lifefit.herokuapp.com/

<img src="https://raw.githubusercontent.com/fdsteffen/Lifefit/master/docs/source/_static/webserver.png">

> **Note:** Initial startup of the webserver might take a few seconds, please be patient.

## Installation
There are different options how to install LifeFit. 

### Conda
Install the package into your conda environment 
```
conda install -c fdsteffen lifefit
```

### PyPI
Alternatively, you can install the latest release with pip
```
pip install lifefit
```

### Install from source
Finally, you can also get the latest development version directly from Github
```
pip install git+https://github.com/fdsteffen/Lifefit.git
```

## Documentation
LifeFit is documented [here](https://lifefit.readthedocs.io/en/latest/). To get started you might consider having a look at this [tutorial](https://lifefit.readthedocs.io/en/latest/tutorial/lifefit_tutorial.html).

## Bug reports
Please report any *bugs* via the [issue tracker](https://github.com/fdsteffen/Lifefit/issues)

## Reference
To cite LifeFit, please refer to the following paper:

F.D. Steffen, R.K.O. Sigel, R. Börner, *Phys. Chem. Chem. Phys.* **2016**, *18*, 29045-29055. [![](https://img.shields.io/badge/DOI-10.1039/C6CP04277E-blue.svg)](https://doi.org/10.1039/C6CP04277E)