Package: spnn 1.2.1
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_1.2.1.tar.gz
spnn_1.2.1.tar.gz(r-4.5-noble)spnn_1.2.1.tar.gz(r-4.4-noble)
spnn_1.2.1.tgz(r-4.4-emscripten)spnn_1.2.1.tgz(r-4.3-emscripten)
spnn.pdf |spnn.html✨
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 5 years agofrom:1988f59c0c. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 12 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 12 2024 |
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 |