Package: TriDimRegression Title: Bayesian Statistics for 2D/3D Transformations Version: 1.0.3 Authors@R: c( person(given = "Alexander (Sasha)", family = "Pastukhov", role = c("aut", "cre"), email ="pastukhov.alexander@gmail.com", comment = c(ORCID = "0000-0002-8738-8591")), person(given = "Claus-Christian", family = "Carbon", role = c("aut"), email = "ccc@experimental-psychology.com", comment = c(ORCID = "0000-0002-3446-9347"))) Description: Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) ). Returns posterior distribution for individual parameters of the fitted distribution. Allows for computation of LOO and WAIC information criteria (Vehtari A, Gelman A, Gabry J (2017) ) as well as Bayesian R-squared (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) ). License: GPL-3 URL: https://github.com/alexander-pastukhov/tridim-regression, https://alexander-pastukhov.github.io/tridim-regression/ BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 VignetteBuilder: knitr Biarch: true Depends: R (>= 4.3.0), loo Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.26.0), dplyr, future, glue, purrr, tidyr, Formula, bayesplot LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools, StanHeaders (>= 2.26.0) SystemRequirements: GNU make Suggests: testthat, knitr, rmarkdown, ggplot2 Config/pak/sysreqs: make libicu-dev Repository: https://alexander-pastukhov.r-universe.dev Date/Publication: 2025-10-09 16:24:34 UTC RemoteUrl: https://github.com/alexander-pastukhov/tridim-regression RemoteRef: HEAD RemoteSha: 5d2d9655df2b1211a40ef8d26eb2da9de7648b14 NeedsCompilation: yes Packaged: 2026-07-05 13:50:38 UTC; root Author: Alexander (Sasha) Pastukhov [aut, cre] (ORCID: ), Claus-Christian Carbon [aut] (ORCID: ) Maintainer: Alexander (Sasha) Pastukhov