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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:255ff09acd. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 138 | ||
| source / vignettes | OK | 180 | ||
| linux-release-x86_64 | NOTE | 141 | ||
| macos-release-arm64 | NOTE | 224 | ||
| macos-oldrel-arm64 | NOTE | 189 | ||
| windows-devel | NOTE | 104 | ||
| windows-release | NOTE | 91 | ||
| windows-oldrel | NOTE | 83 | ||
| wasm-release | OK | 126 |
Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvedoParallelevaluatefarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesSuppDistsvctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| FiSh: Fisher-Shannon Method | FiSh-package FiSh |
| Normal scale rule for kernel density estimation | nsrk |
| Fisher-Shannon method | SEP_FIM |
