# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LangevinFlow" in publications use:' type: software license: MIT title: 'LangevinFlow: Langevin Diffusion Samplers with a C++ Backend' version: 0.1.0 abstract: Provides lightweight, dependency-minimal implementations of Langevin diffusion based Markov chain Monte Carlo samplers, including the Unadjusted Langevin Algorithm (ULA) and the Metropolis-Adjusted Langevin Algorithm (MALA). The core sampling loops are written in C++ via 'Rcpp' and 'RcppArmadillo' for performance, while exposing a simple R-level interface where the user supplies the gradient of the negative log-density (and, for MALA, the negative log-density itself). Intended as a building block for Bayesian inference and stochastic optimization rather than a full probabilistic programming framework. Methods follow Roberts and Tweedie (1996) and Roberts and Rosenthal (1998) . authors: - family-names: Moosavi given-names: Behrooz email: bem159@pitt.edu orcid: https://orcid.org/0000-0003-4378-3167 repository: https://behroozmoosavi.r-universe.dev repository-code: https://github.com/BehroozMoosavi/LangevinFlow commit: 27e97df550ceada5cdd28c1fc1da15f3a12e5ba2 url: https://github.com/BehroozMoosavi/LangevinFlow date-released: '2026-05-26' contact: - family-names: Moosavi given-names: Behrooz email: bem159@pitt.edu orcid: https://orcid.org/0000-0003-4378-3167