Package: sharpData 1.4

sharpData: Data Sharpening

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.

Authors:W. John Braun <[email protected]>

sharpData_1.4.tar.gz
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sharpData_1.4.tar.gz(r-4.7-arm64)sharpData_1.4.tar.gz(r-4.7-x86_64)sharpData_1.4.tar.gz(r-4.6-arm64)sharpData_1.4.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
sharpData/json (API)

# Install 'sharpData' in R:
install.packages('sharpData', repos = c('https://wjbraun.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 223 downloads 5 exports 2 dependencies

Last updated from:e0e336ee02. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK141
linux-devel-x86_64OK94
source / vignettesOK150
linux-release-arm64OK108
linux-release-x86_64OK120
macos-release-arm64OK78
macos-release-x86_64OK216
macos-oldrel-arm64OK84
macos-oldrel-x86_64OK176
windows-develOK75
windows-releaseOK96
windows-oldrelOK58
wasm-releaseFAIL86

Exports:CVsharpLLsharpenMonolpolyMonoMatsharpiteration

Dependencies:KernSmoothquadprog