Other packages > Find by keyword >

spnn  

Scale Invariant Probabilistic Neural Networks
View on CRAN: Click here


Download and install spnn package within the R console
Install from CRAN:
install.packages("spnn")

Install from Github:
library("remotes")
install_github("cran/spnn")

Install by package version:
library("remotes")
install_version("spnn", "1.3.0")



Attach the package and use:
library("spnn")
Maintained by
Romin Ebrahimi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-16
Latest Update: 2020-01-08
Description:
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.
How to cite:
Romin Ebrahimi (2018). spnn: Scale Invariant Probabilistic Neural Networks. R package version 1.3.0, https://cran.r-project.org/web/packages/spnn. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 1.0 (2018-03-16 19:46), 1.1 (2018-03-20 19:21), 1.2.1 (2020-01-08 21:30), 1.2 (2019-09-12 17:30)
Other packages that cited spnn R package
View spnn citation profile
Other R packages that spnn depends, imports, suggests or enhances
Complete documentation for spnn
Functions, R codes and Examples using the spnn R package
Some associated functions: cspnn.learn . cspnn.predict . spnn-package . spnn.learn . spnn.predict . 
Some associated R codes: RcppExports.R . cspnn.learn.R . cspnn.predict.R . spnn-internal.R . spnn.learn.R . spnn.predict.R .  Full spnn package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA