Package: LangevinFlow
Type: Package
Title: Langevin Diffusion Samplers with a C++ Backend
Version: 0.1.0
Authors@R: 
    person(given = "Behrooz",
           family = "Moosavi",
           role = c("aut", "cre"),
           email = "bem159@pitt.edu",
           comment = c(ORCID = "0000-0003-4378-3167"))
Description: 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) <doi:10.2307/3318418> and Roberts and Rosenthal (1998)
        <doi:10.1111/1467-9868.00123>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
RoxygenNote: 7.3.3
URL: https://github.com/BehroozMoosavi/LangevinFlow
BugReports: https://github.com/BehroozMoosavi/LangevinFlow/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-10-25 10:01:20 UTC; root
Author: Behrooz Moosavi [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-4378-3167>)
Maintainer: Behrooz Moosavi <bem159@pitt.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-05-29 12:30:03 UTC
RemoteUrl: https://github.com/cran/LangevinFlow
RemoteRef: HEAD
RemoteSha: 5959298ec41e08bf994ed981523056e5fdc28266