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r / packages / r-islasso

An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.

Type Size Name Uploaded Downloads Labels
conda 529.7 kB | linux-64/r-islasso-1.5.1-r43h640688f_0.tar.bz2  1 year and 1 month ago 22 main
conda 800.0 kB | linux-64/r-islasso-1.4.3-r42h640688f_0.tar.bz2  2 years and 7 months ago 50 main
conda 363.4 kB | win-64/r-islasso-1.1.0-r36h17ddedb_0.tar.bz2  4 years and 10 months ago 83 main
conda 351.2 kB | linux-64/r-islasso-1.1.0-r36ha65eedd_0.tar.bz2  4 years and 10 months ago 62 main

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