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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.

copied from cf-staging / r-smurf
Type Size Name Uploaded Downloads Labels
conda 547.4 kB | win-64/r-smurf-1.1.7-r44hec15cfb_0.conda  5 months and 25 days ago 50 main
conda 542.3 kB | win-64/r-smurf-1.1.7-r43hec15cfb_0.conda  5 months and 25 days ago 50 main
conda 546.2 kB | osx-64/r-smurf-1.1.7-r43h8d9e291_0.conda  5 months and 25 days ago 33 main
conda 550.8 kB | osx-64/r-smurf-1.1.7-r44h8d9e291_0.conda  5 months and 25 days ago 32 main
conda 551.0 kB | linux-64/r-smurf-1.1.7-r44hc2d650c_0.conda  5 months and 25 days ago 454 main
conda 548.0 kB | linux-64/r-smurf-1.1.7-r43hc2d650c_0.conda  5 months and 25 days ago 457 main

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