Package: GRNNs 0.1.0
GRNNs: General Regression Neural Networks Package
This General Regression Neural Networks Package uses various distance functions. It was motivated by Specht (1991, ISBN:1045-9227), and updated from previous published paper Li et al. (2016) <doi:10.1016/j.palaeo.2015.11.005>. This package includes various functions, although "euclidean" distance is used traditionally.
Authors:
GRNNs_0.1.0.tar.gz
GRNNs_0.1.0.zip(r-4.7-any)GRNNs_0.1.0.zip(r-4.6-any)GRNNs_0.1.0.zip(r-4.5-any)
GRNNs_0.1.0.tgz(r-4.6-any)GRNNs_0.1.0.tgz(r-4.5-any)
GRNNs_0.1.0.tar.gz(r-4.7-any)GRNNs_0.1.0.tar.gz(r-4.6-any)
GRNNs_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GRNNs/json (API)
| # Install 'GRNNs' in R: |
| install.packages('GRNNs', repos = c('https://shufeng-li.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shufeng-li/grnns/issues
Last updated from:8c0423e951. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 138 | ||
| source / vignettes | OK | 254 | ||
| linux-release | OK | 125 | ||
| macos-release | OK | 182 | ||
| macos-oldrel | OK | 236 | ||
| windows-devel | OK | 97 | ||
| windows-release | OK | 90 | ||
| windows-oldrel | OK | 92 | ||
| wasm-release | OK | 97 |
Exports:findSpreadfindSpreadRdistfindSpreadVegangrnngrnn.distancegrnn.kfoldveg.distance
Dependencies:cliclustercvToolsDEoptimRfarvergluelabelinglatticelifecycleMASSMatrixmgcvnlmepermuteR6RColorBrewerRcppRcppArmadillordistrlangrobustbasescalesveganviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find best spread | findSpread |
| find best spreads using Rdist | findSpreadRdist |
| Find best spread using vegan function | findSpreadVegan |
| General Regression Neural Networks (GRNNs) | grnn |
| grnn distance | grnn.distance |
| General Regression Neural Networks (GRNNs) | grnn.kfold |
| meteorological dataset | met |
| physiognomy dataset | physg |
| distance using vegdist | veg.distance |
