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: density function, parameter estimation, simulation. An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023) <doi:10.3390/rs15020528> and another method for parameter estimation is given in Bouhlel et al. (2023) <doi:10.23919/EUSIPCO58844.2023.10290111>.
| Version: | 2.0.3 |
| Depends: | R (≥ 3.5) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-06-16 |
| DOI: | 10.32614/CRAN.package.gaussratiovegind |
| Author: | Pierre Santagostini [aut, cre], Angélina El Ghaziri [aut], Nizar Bouhlel [aut], David Rousseau [ctb] |
| Maintainer: | Pierre Santagostini <pierre.santagostini at institut-agro.fr> |
| BugReports: | https://forge.inrae.fr/imhorphen/gaussratiovegind/-/issues |
| License: | GPL (≥ 3) |
| URL: | https://forge.inrae.fr/imhorphen/gaussratiovegind |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | gaussratiovegind results |
| Reference manual: | gaussratiovegind.html ,gaussratiovegind.pdf |
| Package source: | gaussratiovegind_2.0.3.tar.gz |
| Windows binaries: | r-devel:gaussratiovegind_2.0.3.zip, r-release:gaussratiovegind_2.0.3.zip, r-oldrel:gaussratiovegind_2.0.3.zip |
| macOS binaries: | r-release (arm64):gaussratiovegind_2.0.3.tgz, r-oldrel (arm64):gaussratiovegind_2.0.3.tgz, r-release (x86_64):gaussratiovegind_2.0.3.tgz, r-oldrel (x86_64):gaussratiovegind_2.0.3.tgz |
| Old sources: | gaussratiovegind archive |
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