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rRAP  

Real-Time Adaptive Penalization for Streaming Lasso Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rRAP", "1.1")



Attach the package and use:
library("rRAP")
Maintained by
Ricardo Pio Monti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-09
Latest Update: 2016-10-31
Description:
An implementation of the Real-time Adaptive Penalization (RAP) algorithm through which to iteratively update a regularization parameter in a streaming context.
How to cite:
Ricardo Pio Monti (2016). rRAP: Real-Time Adaptive Penalization for Streaming Lasso Models. R package version 1.1, https://cran.r-project.org/web/packages/rRAP. Accessed 27 Mar. 2025.
Previous versions and publish date:
1.0 (2016-10-09 17:12), 1.1 (2016-10-31 16:53)
Other packages that cited rRAP R package
View rRAP citation profile
Other R packages that rRAP depends, imports, suggests or enhances
Complete documentation for rRAP
Functions, R codes and Examples using the rRAP R package
Some associated functions: RAP . predict.RAP . rRAP-package . update.RAP . 
Some associated R codes: RAP.R . getGradientLARS.R . getGradientLARS_Approx.R . predict.RAP.R . rRAP-internal.R . update.RAP.R .  Full rRAP package functions and examples
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