# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "KDEmcmc" in publications use:' type: software license: GPL-3.0-or-later title: 'KDEmcmc: Kernel Density Estimation with a Markov Chain Monte Carlo Sample' version: 0.0.2 doi: 10.32614/CRAN.package.KDEmcmc abstract: 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. authors: - family-names: Lee given-names: Juhee email: ljh988488@gmail.com - family-names: Kim given-names: Hang J. - family-names: Kim given-names: Young-Min repository: https://jhlee-projects.r-universe.dev commit: fe4aab57d1b54243e006fed8b863dcf44bc433de date-released: '2025-08-19' contact: - family-names: Lee given-names: Juhee email: ljh988488@gmail.com