tag:joss.theoj.org,2005:/papers/reviewed_by/@ja-thomasJournal of Open Source Software2019-02-15T10:05:23ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/8102019-02-15T10:05:23Z2021-02-15T11:32:39ZBoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machinesaccepted0.1.32019-01-14 07:17:37 UTC342019-02-15 10:05:23 UTC420191193AndrewT.JonesSchool of Mathematics and Physics, University of Queensland, St. Lucia 4072, Queensland AustraliaJessicaJ.BagnallDepartment of Mathematics and Statistics, La Trobe University, Bundoora 3086, Victoria AustraliaHienD.NguyenDepartment of Mathematics and Statistics, La Trobe University, Bundoora 3086, Victoria Australia0000-0002-9958-432X10.21105/joss.01193https://doi.org/10.5281/zenodo.2563411R, C++https://joss.theoj.org/papers/10.21105/joss.01193.pdfartificial neural network, graphical model, maximum pseudolikelihood estimation, multivariate binary data, probability mass function