Package: FiSh 1.1

FiSh: Fisher-Shannon Method

Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. More theoretical and implementation details can be found in Guignard et al. <doi:10.3389/feart.2020.00255>. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').

Authors:Fabian Guignard [aut], Mohamed Laib [aut, cre]

FiSh_1.1.tar.gz
FiSh_1.1.zip(r-4.7)FiSh_1.1.zip(r-4.6)FiSh_1.1.zip(r-4.5)
FiSh_1.1.tgz(r-4.6-any)FiSh_1.1.tgz(r-4.5-any)
FiSh_1.1.tar.gz(r-4.7-any)FiSh_1.1.tar.gz(r-4.6-any)
FiSh_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
FiSh/json (API)

# Install 'FiSh' in R:
install.packages('FiSh', repos = c('https://mlaib.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.

1.30 score 2 scripts 192 downloads 2 mentions 2 exports 55 dependencies

Last updated from:255ff09acd. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE138
source / vignettesOK180
linux-release-x86_64NOTE141
macos-release-arm64NOTE224
macos-oldrel-arm64NOTE189
windows-develNOTE104
windows-releaseNOTE91
windows-oldrelNOTE83
wasm-releaseOK126

Exports:nsrkSEP_FIM

Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvedoParallelevaluatefarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesSuppDistsvctrsviridisLitewithrxfunyaml