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kader  

Kernel Adaptive Density Estimation and Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kader", "0.0.8")



Attach the package and use:
library("kader")
Maintained by
Gerrit Eichner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-04
Latest Update: 2017-10-04
Description:
Implementation of various kernel adaptive methods in nonparametric curve estimation like density estimation as introduced in Stute and Srihera (2011) and Eichner and Stute (2013) for pointwise estimation, and like regression as described in Eichner and Stute (2012) .
How to cite:
Gerrit Eichner (2017). kader: Kernel Adaptive Density Estimation and Regression. R package version 0.0.8, https://cran.r-project.org/web/packages/kader. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited kader R package
View kader citation profile
Other R packages that kader depends, imports, suggests or enhances
Complete documentation for kader
Functions, R codes and Examples using the kader R package
Some associated functions: J1 . J2 . J_admissible . adaptive_fnhat . bias_AND_scaledvar . bias_ES2012 . compute_fnhat . cuberoot . epanechnikov . fnhat_ES2013 . fnhat_SS2011 . kade . kader . kare . kfn_vectorized . minimize_MSEHat . mse_hat . nadwat . pc . qc . rectangular . var_ES2012 . weights_ES2012 . 
Some associated R codes: Jfunctions.R . bias_var_mse.R . kader.R . kde_L2adaptive.R . kde_adaptive.R . kernels.R . kre_adaptive.R . minimizeMSE.R .  Full kader package functions and examples
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