Package: sharpPen 2.0

sharpPen: Penalized Data Sharpening for Local Polynomial Regression

Functions and data sets for data sharpening. Nonparametric regressions are computed subject to smoothness and other kinds of penalties.

Authors:W.J. Braun [aut], D. Wang [aut, cre], X.J. Hu [aut, ctb]

sharpPen_2.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sharpPen/json (API)

# Install 'sharpPen' in R:
install.packages('sharpPen', repos = c('https://wdy9.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • noontemp - Noon Temperatures in Winnipeg, Manitoba

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 275 downloads 18 exports 21 dependencies

Last updated from:24936fd2ac. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK170
source / vignettesOK247
linux-release-arm64OK142
linux-release-x86_64OK142
macos-release-arm64OK202
macos-release-x86_64OK251
macos-oldrel-arm64OK197
macos-oldrel-x86_64OK375
windows-devel-arm64OK363
windows-devel-x86_64OK157
windows-release-arm64WARNING341
windows-release-x86_64OK103
windows-oldrel-x86_64OK124
wasm-releaseOK115

Exports:data_sharpeningderivOperatordpilcdpilc_PTWDR_sharpenlprOperatornumericalDerivativeprojection_Cprojection_nbrelsharp_bighrelsharp_bigh_crelsharp_linearrelsharp_linear_crelsharp_meanrelsharp_mean_crelsharpenRELsharpeningtestfun

Dependencies:bootcodetoolscrscubatureforeachglmnetiteratorsKernSmoothlatticelocpolMASSMatrixMatrixModelsnpquadprogquantregRcppRcppEigenshapeSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
Penalized data sharpening for Local Linear, Quadratic and Cubic Regressiondata_sharpening
Shape Constraint Matrix ConstructionderivOperator
Select a Bandwidth for Local Quadratic and Cubic Regressiondpilc
dpilc_PTW: Local Polynomial Bandwith Estimation with Blockwise Selection and Pointwise Resultsdpilc_PTW
Shape-Constrained Local Linear Regression via Douglas-RachfordDR_sharpen
Local Polynomial Estimator Matrix ConstructionlprOperator
Noon Temperatures in Winnipeg, Manitobanoontemp
Numerical Derivative of Smooth FunctionnumericalDerivative
Projection operator for rectangle or nonnegative spaceprojection_C
Projection operator for norm balls.projection_nb
Ridge/Enet/LASSO Sharpening via the local polynomial regression with large bandwidth.relsharp_bigh
Ridge/Enet/LASSO Sharpening via the local polynomial regression with large bandwidth and then applying the residual sharpening method.relsharp_bigh_c
Ridge/Enet/LASSO Sharpening via the linear regression.relsharp_linear
Ridge/Enet/LASSO Sharpening via the linear regression and then applying the residual sharpening method.relsharp_linear_c
Ridge/Enet/LASSO Sharpening via the Meanrelsharp_mean
Ridge/Enet/LASSO Sharpening via the Mean and then applying the residual sharpening method.relsharp_mean_c
Ridge/Enet/LASSO Sharpening via the penalty matrix.relsharpen
Ridge/Enet/LASSO Sharpening via the mean/local polynomial regression with large bandwidth/linear regression.RELsharpening
Functions for Testing Purposestestfun