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KDEmcmc  

Kernel Density Estimation with a Markov Chain Monte Carlo Sample
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("KDEmcmc", "0.0.2")



Attach the package and use:
library("KDEmcmc")
Maintained by
Juhee Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-24
Latest Update: 2025-04-24
Description:
Provides methods for selecting the optimal bandwidth in kernel density estimation for dependent samples, such as those generated by Markov chain Monte Carlo (MCMC). Implements a modified biased cross-validation (mBCV) approach that accounts for sample dependence, improving the accuracy of estimated density functions.
How to cite:
Juhee Lee (2025). KDEmcmc: Kernel Density Estimation with a Markov Chain Monte Carlo Sample. R package version 0.0.2, https://cran.r-project.org/web/packages/KDEmcmc. Accessed 11 Mar. 2026.
Previous versions and publish date:
0.0.1 (2025-04-24 09:30)
Other packages that cited KDEmcmc R package
View KDEmcmc citation profile
Other R packages that KDEmcmc depends, imports, suggests or enhances
Complete documentation for KDEmcmc
Functions, R codes and Examples using the KDEmcmc R package
Full KDEmcmc package functions and examples
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