The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.2.1 |
| Imports: | MASS (≥ 3.1-20), Rcpp (≥ 1.0.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-01-08 |
| Author: | Romin Ebrahimi |
| Maintainer: | Romin Ebrahimi <romin.ebrahimi at utexas.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | spnn results |
| Reference manual: | spnn.pdf |
| Package source: | spnn_1.2.1.tar.gz |
| Windows binaries: | r-devel: spnn_1.2.1.zip, r-release: spnn_1.2.1.zip, r-oldrel: spnn_1.2.1.zip |
| macOS binaries: | r-release (arm64): spnn_1.2.1.tgz, r-oldrel (arm64): spnn_1.2.1.tgz, r-release (x86_64): spnn_1.2.1.tgz, r-oldrel (x86_64): spnn_1.2.1.tgz |
| Old sources: | spnn archive |
Please use the canonical form https://CRAN.R-project.org/package=spnn to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.