Menu
  • About & Contact
  • Feedback
  • Contribute
  • Help
  • zbMATH

swMATH

swmath-logo
  • Search
  • Advanced search
  • Browse
  • browse software by name
  • browse software by keywords
  • browse software by MSC
  • browse software by types

lpridge

R package lpridge: Local Polynomial (Ridge) Regression. Local Polynomial Regression with Ridging.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

  • R
  • kernel-based nonparametrics
  • Journal of Statistical Software
  • R package
  • ridge regression estimator
  • bandwidth selection
  • lmridge
  • robust inference
  • ridge regression
  • R Journal
  • Stata
  • bias correction

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Burkhardt Seifert; Martin Maechler
  • Dependencies: R

  • Add information on this software.


  • Related software:
  • R
  • Stata
  • pls
  • gam
  • ggplot2
  • survival
  • quantreg
  • robust
  • fpc
  • lmridge
  • Show more...
  • lrmest
  • genridge
  • ridge
  • ltsbase
  • CoxRidge
  • logistf
  • RidgeFusion
  • nortest
  • xtable
  • leaps
  • Show less...

References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Sebastian Calonico; Matias Cattaneo; Max Farrell: nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference (2019) not zbMATH
  2. Imdad Ullah Muhammad, Aslam Muhammad: lmridge: A Comprehensive R Package for Ridge Regression (2018) not zbMATH
  3. Schlittgen, Rainer: Regression analyses with R (2013)
  4. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)

  • Article statistics & filter:

  • Search for articles
  • MSC classification / top
    • Top MSC classes
      • 62 Statistics

  • Publication year
    • 2010 - today
    • 2005 - 2009
    • 2000 - 2004
    • before 2000
  • Terms & Conditions
  • Imprint
  • Privacy Policy