Package: spnn 1.3.0
Romin Ebrahimi
spnn: Scale Invariant Probabilistic Neural Networks
Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
Authors:
spnn_1.3.0.tar.gz
spnn_1.3.0.tar.gz(r-4.7-arm64)spnn_1.3.0.tar.gz(r-4.7-x86_64)spnn_1.3.0.tar.gz(r-4.6-arm64)spnn_1.3.0.tar.gz(r-4.6-x86_64)
spnn_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spnn/json (API)
NEWS
| # Install 'spnn' in R: |
| install.packages('spnn', repos = c('https://cran.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:e41edccce4. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 110 | ||
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 212 | ||
| linux-release-arm64 | OK | 106 | ||
| linux-release-x86_64 | OK | 106 | ||
| wasm-release | OK | 112 |
Exports:cspnn.learncspnn.predictspnn.learnspnn.predict
Dependencies:MASSRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Scale Invariant Probabilistic Neural Networks | spnn-package spnn |
| cspnn.learn | cspnn.learn |
| cspnn.predict | cspnn.predict |
| spnn.learn | spnn.learn |
| spnn.predict | spnn.predict |