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locpol  

Kernel Local Polynomial Regression
View on CRAN: Click here


Download and install locpol package within the R console
Install from CRAN:
install.packages("locpol")

Install from Github:
library("remotes")
install_github("cran/locpol")

Install by package version:
library("remotes")
install_version("locpol", "0.8.0")



Attach the package and use:
library("locpol")
Maintained by
Jorge Luis Ojeda Cabrera
[Scholar Profile | Author Map]
First Published: 2007-12-18
Latest Update: 2022-11-29
Description:
Computes local polynomial estimators for the regression and also density. It comprises several different utilities to handle kernel estimators.
How to cite:
Jorge Luis Ojeda Cabrera (2007). locpol: Kernel Local Polynomial Regression. R package version 0.8.0, https://cran.r-project.org/web/packages/locpol. Accessed 04 May. 2025.
Previous versions and publish date:
0.2-0 (2007-12-18 20:29), 0.4-0 (2009-09-28 12:35), 0.5-0 (2012-09-11 11:10), 0.6-0 (2012-10-25 15:23), 0.7-0 (2018-05-24 19:28)
Other packages that cited locpol R package
View locpol citation profile
Other R packages that locpol depends, imports, suggests or enhances
Complete documentation for locpol
Functions, R codes and Examples using the locpol R package
Some associated functions: KernelChars . Kernels . PRDenEstC . bivLocPol . compKernVals . denCVBwSelC . equivKernel . kernelCtes . locPolWeights . locpol . locpolSmoothers . pluginBw . regCVBwSelC . selKernel . simpleSmoothers . thumbBw . 
Some associated R codes: locpol.R .  Full locpol package functions and examples
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