Package: tidyabc Title: Approximate Bayesian Computing with Tidy Data Version: 0.0.1 Authors@R: person(given = "Robert", family = "Challen", role = c("aut", "cre"), email = "rob.challen@bristol.ac.uk", comment = c(ORCID = "0000-0002-5504-7768")) Description: A flexible framework for Approximate Bayesian Computation (ABC) that integrates with the tidyverse. Define simulation models and summary statistics as standard R functions, use 'dist_fns' to represent prior and posterior distributions, and perform inference via rejection sampling, Sequential Monte Carlo (SMC), or Adaptive ABC. The package provides tools for diagnostics, visualization, and convergence assessment, enabling reproducible Bayesian inference for complex models with intractable likelihoods. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE, packages = "pkgtools") RoxygenNote: 7.3.3.9007 Config/Needs/build: terminological/pkgtools Suggests: progressr, testthat, lifecycle, withr, parallel, mirai (>= 2.5.1), future, rmarkdown Config/testthat/edition: 3 Config/Needs/website: rmarkdown Imports: dplyr, furrr, ggplot2, knitr, pillar, purrr, rlang, scales, splines, stats, stringr, systemfonts, utils, carrier, magrittr, Matrix, cli, locfit, mvtnorm, patchwork, signal, tibble, tidyr, ragg, fitdistrplus VignetteBuilder: knitr URL: https://ai4ci.github.io/tidyabc, https://github.com/ai4ci/tidyabc BugReports: https://github.com/ai4ci/tidyabc/issues Depends: R (>= 3.5) LazyData: true Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libfribidi-dev libharfbuzz-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libwebp-dev Repository: https://ai4ci.r-universe.dev Date/Publication: 2025-11-24 20:25:01 UTC RemoteUrl: https://github.com/ai4ci/tidyabc RemoteRef: 0.0.1 RemoteSha: 6d673cfed37e9321fce896a079e64f928a6c67b8 NeedsCompilation: no Packaged: 2026-06-22 09:37:53 UTC; root Author: Robert Challen [aut, cre] (ORCID: ) Maintainer: Robert Challen