Other packages > Find by keyword >

swag  

Sparse Wrapper Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("swag", "0.1.0")



Attach the package and use:
library("swag")
Maintained by
Samuel Orso
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-10
Latest Update: 2020-11-10
Description:
An algorithm that trains a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. This package works on top of the 'caret' package and proceeds in a forward-step manner. More specifically, it builds and tests learners starting from very few attributes until it includes a maximal number of attributes by increasing the number of attributes at each step. Hence, for each fixed number of attributes, the algorithm tests various (randomly selected) learners and picks those with the best performance in terms of training error. Throughout, the algorithm uses the information coming from the best learners at the previous step to build and test learners in the following step. In the end, it outputs a set of strong low-dimensional learners.
How to cite:
Samuel Orso (2020). swag: Sparse Wrapper Algorithm. R package version 0.1.0, https://cran.r-project.org/web/packages/swag. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited swag R package
View swag citation profile
Other R packages that swag depends, imports, suggests or enhances
Complete documentation for swag
Functions, R codes and Examples using the swag R package
Some associated functions: predict.swag . swag . swagControl . 
Some associated R codes: control.R . predict.R . swag.R .  Full swag package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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