Discrete Morse Theory for 3D Meshes Derived from Point Clouds R package DiscreteMorseR version 1.0.0 Ultra-fast computation of discrete Morse (Marston Morse) gradient vector fields and critical simplices (0-simplices: vertices, 1-simplices: edges, 2-simplices: faces) on 3D triangular meshes from point clouds. Provides C++ backend with parallel processing for large-scale topological analysis, including connected component analysis and visualization tools. Perfect for Light Detection and Ranging ('LiDAR') data, computational topology, and geometric analysis applications. The implementation follows Forman (1998) <doi:10.1007/PL00009307> for discrete Morse theory, with extensions for 3D mesh processing. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.10), dplyr (>= 1.0.0), purrr (>= 0.3.0), stringr (>= 1.4.0), data.table (>= 1.12.0), gtools (>= 3.8.0), readr (>= 1.3.0), future (>= 1.18.0), furrr (>= 0.2.0) LinkingTo: Rcpp, RcppArmadillo Suggests: clustermq (>= 0.8.0), ggplot2 (>= 3.3.0), testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown (>= 2.0), tictoc Gergo Dioszegi <dijogergo@gmail.com> Comprehensive R Archive Network (CRAN) Gergo Dioszegi [aut, cre, cph] (ORCID: <https://orcid.org/0009-0003-3454-9093>) MIT + file LICENSE (https://CRAN.R-project.org/package=DiscreteMorseR/LICENSE) 2026-07-16 application/tgz https://CRAN.R-project.org/package=DiscreteMorseR doi:10.32614/CRAN.package.DiscreteMorseR en-US