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This package performs prediction for regression-oriented problems, aggregating in a nonlinear scheme any basic regression machines suggested by the context and provided by the user. If the user has no valuable knowledge on the data, four defaults machines wrappers are implemented so as to cover a minimal spectrum of prediction methods. If necessary, the computations may be parallelized. The method is described in Biau, Fischer, Guedj and Malley (2013), "COBRA: A Nonlinear Aggregation Strategy".

Type Size Name Uploaded Downloads Labels
conda 56.5 kB | win-64/r-cobra-0.99.4-r36hda5aaf8_0.tar.bz2  4 years and 11 months ago 65 main
conda 46.8 kB | osx-64/r-cobra-0.99.4-r36h46e59ec_0.tar.bz2  4 years and 11 months ago 19 main
conda 48.1 kB | linux-64/r-cobra-0.99.4-r36h96ca727_0.tar.bz2  4 years and 11 months ago 54 main

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