Package: GWI 1.0.2

GWI: Count and Continuous Generalized Variability Indexes

Firstly, both functions of the univariate Poisson dispersion index (DI) for count data and the univariate exponential variation index (VI) for nonnegative continuous data are performed. Next, other functions of univariate indexes such the binomial dispersion index (DIb), the negative binomial dispersion index (DInb) and the inverse Gaussian variation index (VIiG) are given. Finally, we are computed some multivariate versions of these functions such that the generalized dispersion index (GDI) with its marginal one (MDI) and the generalized variation index (GVI) with its marginal one (MVI) too.

Authors:Aboubacar Y. Touré and Célestin C. Kokonendji

GWI_1.0.2.tar.gz
GWI_1.0.2.zip(r-4.7-any)GWI_1.0.2.zip(r-4.6-any)GWI_1.0.2.zip(r-4.5-any)
GWI_1.0.2.tgz(r-4.6-any)GWI_1.0.2.tgz(r-4.5-any)
GWI_1.0.2.tar.gz(r-4.7-any)GWI_1.0.2.tar.gz(r-4.6-any)
GWI_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GWI/json (API)

# Install 'GWI' in R:
install.packages('GWI', repos = c('https://bouba444.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 311 downloads 7 exports 0 dependencies

Last updated from:dcceb0c031. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK81
source / vignettesOK170
linux-releaseOK84
macos-releaseOK131
macos-oldrelOK156
windows-develOK62
windows-releaseOK55
windows-oldrelOK112
wasm-releaseOK62

Exports:di.fundib.fundinb.fungmdi.fungmvi.funvi.funviiG.fun

Dependencies: