# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "hmclearn" in publications use:' type: software license: GPL-3.0-only title: 'hmclearn: Fit Statistical Models Using Hamiltonian Monte Carlo' version: 0.0.5 doi: 10.32614/CRAN.package.hmclearn abstract: 'Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" , Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" , Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.' authors: - family-names: Thomas given-names: Samuel email: samthoma@iu.edu repository: https://cranhaven.r-universe.dev commit: 90830186b825b00f5c4d80e5d596cbc58ed20367 date-released: '2026-09-19' contact: - family-names: Thomas given-names: Samuel email: samthoma@iu.edu