README.md

# gaussratiovegind

## Description
It is well known that the distribution of a Gaussian ratio does not follow
a Gaussian distribution.
The lack of awareness among users of vegetation indices about this non-Gaussian
nature could lead to incorrect statistical modeling and interpretation.
This package provides tools to accurately handle and analyse such ratios:

* Probability density function
* Sample simulation
* Parameter estimation

An example on the study of chlorophyll fluorescence can be found in
A. El Ghaziri et al. (2023)

## Installation

Install the package from CRAN:

```
install.packages("gaussratiovegind")
```

Or install the development version from the repository, using the [`devtools`](https://CRAN.R-project.org/package=devtools) package:

```
install.packages("devtools")
devtools::install_gitlab("imhorphen/gaussratiovegind",
                         host = "https://forgemia.inra.fr")
```

## Authors

[Pierre Santagostini](mailto:pierre.santagostini@institut-agro.fr),
[Angélina El Ghaziri](mailto:angelina.elghaziri@institut-agro.fr),
[Nizar Bouhlel](mailto:nizar.bouhlel@institut-agro.fr)
and David Rousseau

## References

El Ghaziri, A., Bouhlel, N., Sapoukhina, N., Rousseau, D.,
On the importance of non-Gaussianity in chlorophyll fluorescence imaging.
Remote Sensing 15(2), 528 (2023).
https://doi.org/10.3390/rs15020528