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-4.5)GRNNs_0.1.0.zip(r-4.4)GRNNs_0.1.0.zip(r-4.3)
GRNNs_0.1.0.tgz(r-4.4-any)GRNNs_0.1.0.tgz(r-4.3-any)
GRNNs_0.1.0.tar.gz(r-4.5-noble)GRNNs_0.1.0.tar.gz(r-4.4-noble)
GRNNs_0.1.0.tgz(r-4.4-emscripten)GRNNs_0.1.0.tgz(r-4.3-emscripten)
GRNNs.pdf |GRNNs.html✨
GRNNs/json (API)
NEWS
| # 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 3 years agofrom:8c0423e951. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:findSpreadfindSpreadRdistfindSpreadVegangrnngrnn.distancegrnn.kfoldveg.distance
Dependencies:cliclustercolorspacecvToolsDEoptimRfarvergluelabelinglatticelifecycleMASSMatrixmgcvmunsellnlmepermuteR6RColorBrewerRcppRcppArmadillordistrlangrobustbasescalesveganviridisLite
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 |
