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>.
Version: | 1.0.1 |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2025-02-11 |
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://forgemia.inra.fr/imhorphen/gaussratiovegind/-/issues |
License: | GPL (≥ 3) |
URL: | https://forgemia.inra.fr/imhorphen/gaussratiovegind |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | gaussratiovegind results |
Reference manual: | gaussratiovegind.pdf |
Package source: | gaussratiovegind_1.0.1.tar.gz |
Windows binaries: | r-devel: gaussratiovegind_1.0.1.zip, r-release: gaussratiovegind_1.0.1.zip, r-oldrel: gaussratiovegind_1.0.1.zip |
macOS binaries: | r-devel (arm64): gaussratiovegind_1.0.1.tgz, r-release (arm64): gaussratiovegind_1.0.1.tgz, r-oldrel (arm64): gaussratiovegind_1.0.1.tgz, r-devel (x86_64): gaussratiovegind_1.0.1.tgz, r-release (x86_64): gaussratiovegind_1.0.1.tgz, r-oldrel (x86_64): gaussratiovegind_1.0.1.tgz |
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