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r / 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). 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 2 months ago 96 main
conda 64.2 kB | osx-64/r-sharpdata-1.2-r36hfffe0aa_0.tar.bz2  5 years and 2 months ago 20 main
conda 64.2 kB | linux-64/r-sharpdata-1.2-r36ha65eedd_0.tar.bz2  5 years and 2 months ago 59 main

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