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: 2026-05-26 20:57:48 UTC; behroozmoosavi
Author: Behrooz Moosavi [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4378-3167>)
Maintainer: Behrooz Moosavi <bem159@pitt.edu>
Repository: CRAN
Date/Publication: 2026-05-29 12:30:03 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-05-29 16:04:12 UTC; unix
Archs: LangevinFlow.so.dSYM
