Other packages > Find by keyword >

bmrm  

Bundle Methods for Regularized Risk Minimization Package
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bmrm", "4.1")



Attach the package and use:
library("bmrm")
Maintained by
Julien Prados
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-05-14
Latest Update: 2023-04-14
Description:
Bundle methods for minimization of convex and non-convex risk under L1 or L2 regularization. Implements the algorithm proposed by Teo et al. (JMLR 2010) as well as the extension proposed by Do and Artieres (JMLR 2012). The package comes with lot of loss functions for machine learning which make it powerful for big data analysis. The applications includes: structured prediction, linear SVM, multi-class SVM, f-beta optimization, ROC optimization, ordinal regression, quantile regression, epsilon insensitive regression, least mean square, logistic regression, least absolute deviation regression (see package examples), etc... all with L1 and L2 regularization.
How to cite:
Julien Prados (2013). bmrm: Bundle Methods for Regularized Risk Minimization Package. R package version 4.1, https://cran.r-project.org/web/packages/bmrm. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.3 (2013-05-14 10:07), 1.4 (2013-07-19 16:41), 1.5 (2013-08-06 21:39), 1.6 (2013-09-04 16:47), 1.7 (2014-01-28 16:56), 1.8 (2014-02-10 17:51), 3.0 (2015-01-15 16:59), 3.3 (2017-05-19 23:24), 3.4 (2017-08-16 22:09), 3.7 (2018-02-19 13:24), 4.1 (2019-04-03 16:00)
Other packages that cited bmrm R package
View bmrm citation profile
Other R packages that bmrm depends, imports, suggests or enhances
Downloads during the last 30 days
03/0503/0603/0803/0903/1003/1303/1403/1503/1603/1703/1903/2103/2203/2303/2403/2503/2603/2803/2903/30Downloads for bmrm051015202530TrendBars

Today's Hot Picks in Authors and Packages

RI2by2  
Randomization Inference for Treatment Effects on a Binary Outcome
Computes attributable effects based confidence interval, permutation test confidence interval, or as ...
Download / Learn more Package Citations See dependency  
RPMG  
Graphical User Interface (GUI) for Interactive R Analysis Sessions
Really Poor Man's Graphical User Interface, used to create interactive R analysis sessions with simp ...
Download / Learn more Package Citations See dependency  
automl  
Deep Learning with Metaheuristic
Fits from simple regression to highly customizable deep neural networks either with gradient descen ...
Download / Learn more Package Citations See dependency  
RobustANOVA  
Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality
Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetri ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
RZooRoH  
Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes
Functions to identify Homozygous-by-Descent (HBD) segments associated with runs of homozygosity (ROH ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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