# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "abcpp" in publications use:' type: software license: GPL-3.0-only title: 'abcpp: Shared C++ Backend for Approximate Bayesian Computation' version: 1.0.0 doi: 10.32614/CRAN.package.abcpp abstract: Provides a compact C++ backend for Approximate Bayesian Computation (ABC) with a thin R frontend. The current implementation is primarily a C++ reimplementation of offline ABC workflows provided by the R 'abc' package , with the public R interface intentionally kept small and centered on abc() and summary() methods. The computational work is performed by shared C++ code. In addition to reproducing common 'abc' workflows, the package adds optional dimensionality reduction of summary statistics through Principal Component Analysis (PCA) and Partial Least Squares (PLS), following related ideas described by Bazin et al. (2010) and Wegmann et al. (2009) . authors: - family-names: Hu given-names: Mengzhen email: hmz1969a@gmail.com repository: https://yuki-961004.r-universe.dev repository-code: https://github.com/yuki-961004/abcpp commit: f520da3eaaafa92846735ad6892e9b7d96399d19 url: https://github.com/yuki-961004/abcpp date-released: '2026-06-29' contact: - family-names: Hu given-names: Mengzhen email: hmz1969a@gmail.com