Package: gaussratiovegind 3.0.0

Pierre Santagostini

gaussratiovegind: Distribution of Gaussian Ratios

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>.

Authors:Pierre Santagostini [aut, cre], Nizar Bouhlel [aut], Angélina El Ghaziri [aut], David Rousseau [ctb]

gaussratiovegind_3.0.0.tar.gz
gaussratiovegind_3.0.0.tar.gz(r-4.7-any)gaussratiovegind_3.0.0.tar.gz(r-4.6-any)
gaussratiovegind_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gaussratiovegind/json (API)

# Install 'gaussratiovegind' in R:
install.packages('gaussratiovegind', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • arabidopsis - Statistics on Chlorophyll Fluorescence Parameters

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 174 downloads 9 exports 1 dependencies

Last updated from:295fb826d8. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK185
source / vignettesOK198
linux-release-x86_64OK144
wasm-releaseOK100

Exports:dnormratioestparEMestparnormratioestparVBkummerlnpochhammerpnormratiopochhammerrnormratio

Dependencies:MASS