Package: KDEmcmc
Type: Package
Title: Kernel Density Estimation with a Markov Chain Monte Carlo Sample
Version: 0.0.1
Date: 2025-04-21
Authors@R: c(person("Juhee", "Lee", role = c("aut", "cre"),
                    email = "ljh988488@gmail.com"),
             person("Hang J.", "Kim", role = "aut"),
             person("Young-Min", "Kim", role = "aut"))
Maintainer: Juhee Lee <ljh988488@gmail.com>
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.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: Rcpp, methods
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RcppModules: cKDEmodule
NeedsCompilation: yes
RoxygenNote: 7.3.2
Packaged: 2025-04-21 09:44:43 UTC; user
Author: Juhee Lee [aut, cre],
  Hang J. Kim [aut],
  Young-Min Kim [aut]
Repository: CRAN
Date/Publication: 2025-04-24 07:30:01 UTC
Built: R 4.3.3; x86_64-apple-darwin20; 2025-04-24 09:20:33 UTC; unix
Archs: KDEmcmc.so.dSYM
