Other packages > Find by keyword >

oscar  

Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("oscar", "1.2.1")



Attach the package and use:
library("oscar")
Maintained by
Teemu Daniel Laajala
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-20
Latest Update: 2023-10-02
Description:
Optimal Subset Cardinality Regression (OSCAR) models offer regularized linear regression using the L0-pseudonorm, conventionally known as the number of non-zero coefficients. The package estimates an optimal subset of features using the L0-penalization via cross-validation, bootstrapping and visual diagnostics. Effective Fortran implementations are offered along the package for finding optima for the DC-decomposition, which is used for transforming the discrete L0-regularized optimization problem into a continuous non-convex optimization task. These optimization modules include DBDC ('Double Bundle method for nonsmooth DC optimization' as described in Joki et al. (2018) ) and LMBM ('Limited Memory Bundle Method for large-scale nonsmooth optimization' as in Haarala et al. (2004) ). The OSCAR models are comprehensively exemplified in Halkola et al. (2023) ). Multiple regression model families are supported: Cox, logistic, and Gaussian.
How to cite:
Teemu Daniel Laajala (2022). oscar: Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm. R package version 1.2.1, https://cran.r-project.org/web/packages/oscar. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 1.0.3 (2022-05-20 20:20), 1.0.4 (2022-05-24 01:20), 1.1.2-2 (2023-03-13 02:10), 1.1.4 (2023-03-28 18:50), 1.1.7 (2023-08-08 09:20), 1.2.0 (2023-08-29 04:10)
Other packages that cited oscar R package
View oscar citation profile
Other R packages that oscar depends, imports, suggests or enhances
Complete documentation for oscar
Functions, R codes and Examples using the oscar R package
Some associated functions: cost . ex . feat . generics . kits . oscar-class . oscar-methods . oscar-package . oscar.binarize . oscar.binplot . oscar.bs.boxplot . oscar.bs.k . oscar.bs . oscar.bs.plot . oscar.bs.visu . oscar.control . oscar.cost.after . oscar.cv . oscar.cv.visu . oscar . oscar.pareto . oscar.pareto.visu . oscar.sparsify . oscar.visu . 
Some associated R codes: fitS4.R . funcsS4.R . helpers.R . pckg.R . visu.R . zzz.R .  Full oscar package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
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  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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