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
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FiSh_1.1.tgz(r-4.4-any)FiSh_1.1.tgz(r-4.3-any)
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FiSh.pdf |FiSh.html✨
FiSh/json (API)

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

Peer review:

On CRAN:

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

1.30 score 196 downloads 2 mentions 2 exports 60 dependencies

Last updated 4 years agofrom:255ff09acd. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:nsrkSEP_FIM

Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelevaluatefansifarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalesSuppDiststibbleutf8vctrsviridisLitewithrxfunyaml