Penalized Elastic Net S/MM-Estimator of Regression

Robust penalized (adaptive) elastic net S and M estimators for linear regression. The adaptive methods are proposed in Kepplinger, D. (2023) and the non-adaptive methods in Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E. (2019) . The package implements robust hyper-parameter selection with robust information sharing cross-validation according to Kepplinger & Wei (2025) .


Reference manual

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install.packages("pense")

2.5.2 by David Kepplinger, 9 months ago


https://dakep.github.io/pense-rpkg/, https://github.com/dakep/pense-rpkg


Report a bug at https://github.com/dakep/pense-rpkg/issues


Browse source code at https://github.com/cran/pense


Authors: David Kepplinger [aut, cre] , Matías Salibián-Barrera [aut] , Gabriela Cohen Freue [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, methods, parallel, rlang

Depends on Matrix

Suggests testthat, robustbase, knitr, rmarkdown, jsonlite, xml2

Linking to Rcpp, RcppArmadillo, testthat


See at CRAN