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smurf

Sparse Multi-Type Regularized Feature Modeling

Implementation of the SMuRF algorithm of Devriendt et al. (2021) <doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Versions across snapshots

VersionRepositoryFileSize
1.1.8 rolling linux/jammy R-4.5 smurf_1.1.8.tar.gz 568.3 KiB
1.1.8 rolling linux/noble R-4.5 smurf_1.1.8.tar.gz 570.5 KiB
1.1.8 rolling source/ R- smurf_1.1.8.tar.gz 372.5 KiB
1.1.8 latest linux/jammy R-4.5 smurf_1.1.8.tar.gz 568.3 KiB
1.1.8 latest linux/noble R-4.5 smurf_1.1.8.tar.gz 570.5 KiB
1.1.8 latest source/ R- smurf_1.1.8.tar.gz 372.5 KiB
1.1.8 2026-04-26 source/ R- smurf_1.1.8.tar.gz 372.5 KiB
1.1.8 2026-04-23 source/ R- smurf_1.1.8.tar.gz 372.5 KiB
1.1.8 2026-04-09 windows/windows R-4.5 smurf_1.1.8.zip 890.8 KiB
1.1.7 2025-04-20 source/ R- smurf_1.1.7.tar.gz 372.5 KiB

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