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RMSS  

Robust Multi-Model Subset Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RMSS", "1.2.4")



Attach the package and use:
library("RMSS")
Maintained by
Anthony Christidis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-11
Latest Update: 2025-07-17
Description:
Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.
How to cite:
Anthony Christidis (2023). RMSS: Robust Multi-Model Subset Selection. R package version 1.2.4, https://cran.r-project.org/web/packages/RMSS. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 1.0.0 (2023-06-11 13:40), 1.1.0 (2023-08-17 22:02), 1.1.1 (2023-09-14 05:20), 1.1.2 (2024-12-20 01:30), 1.2.0 (2025-07-17 17:40), 1.2.1 (2025-08-19 22:50), 1.2.2 (2025-09-23 18:20), 1.2.3 (2025-12-17 19:10)
Other packages that cited RMSS R package
View RMSS citation profile
Other R packages that RMSS depends, imports, suggests or enhances
Complete documentation for RMSS
Functions, R codes and Examples using the RMSS R package
Full RMSS package functions and examples
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