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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 8 months ago 36 main
conda 800.0 kB | linux-64/r-islasso-1.4.3-r42h640688f_0.tar.bz2  3 years and 3 months ago 65 main
conda 363.4 kB | win-64/r-islasso-1.1.0-r36h17ddedb_0.tar.bz2  5 years and 5 months ago 91 main
conda 351.2 kB | linux-64/r-islasso-1.1.0-r36ha65eedd_0.tar.bz2  5 years and 5 months ago 77 main

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