Other packages > Find by keyword >

supervisedPRIM  

Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("supervisedPRIM", "2.0.0")



Attach the package and use:
library("supervisedPRIM")
Maintained by
David Shaub
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-22
Latest Update: 2016-10-01
Description:
The Patient Rule Induction Method (PRIM) is typically used for "bump hunting" data mining to identify regions with abnormally high concentrations of data with large or small values. This package extends this methodology so that it can be applied to binary classification problems and used for prediction.
How to cite:
David Shaub (2016). supervisedPRIM: Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM). R package version 2.0.0, https://cran.r-project.org/web/packages/supervisedPRIM. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 1.0.1 (2016-08-22 10:00)
Other packages that cited supervisedPRIM R package
View supervisedPRIM citation profile
Other R packages that supervisedPRIM depends, imports, suggests or enhances
Complete documentation for supervisedPRIM
Functions, R codes and Examples using the supervisedPRIM R package
Some associated functions: predict.supervisedPRIM . supervisedPRIM . 
Some associated R codes: ensemblePRIM.R . supervisedPRIM-package.R . supervisedPRIM.R .  Full supervisedPRIM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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