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md  

Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("md", "1.0.4")



Attach the package and use:
library("md")
Maintained by
Genzo Kaga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-21
Latest Update: 2016-02-21
Description:
Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.
How to cite:
Genzo Kaga (2016). md: Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method. R package version 1.0.4, https://cran.r-project.org/web/packages/md. Accessed 11 Mar. 2026.
Previous versions and publish date:
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Complete documentation for md
Functions, R codes and Examples using the md R package
Some associated functions: counter . deltaboxm . dmm . fhat . fhatboxm . ker . md . nom . scheffe . subcounter . xmm . xym . 
Some associated R codes: minimumDistanceMethod.R .  Full md package functions and examples
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