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r_test / packages / r-sharpdata

Functions and data sets inspired by data sharpening - data perturbation to achieve improved performance in nonparametric estimation, as described in Choi, E., Hall, P. and Rousson, V. (2000) <doi:10.1214/aos/1015957396>. Capabilities for enhanced local linear regression function and derivative estimation are included, as well as an asymptotically correct iterated data sharpening estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector is included which, in concert with the iterated sharpener, will often provide superior performance, according to a median integrated squared error criterion. Sample data sets are provided to illustrate function usage.

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conda 75.7 kB | win-64/r-sharpdata-1.2-r36h17ddedb_0.tar.bz2  5 years and 1 month ago 0 main
conda 64.2 kB | osx-64/r-sharpdata-1.2-r36hfffe0aa_0.tar.bz2  5 years and 1 month ago 0 main
conda 64.2 kB | linux-64/r-sharpdata-1.2-r36ha65eedd_0.tar.bz2  5 years and 1 month ago 0 main

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