Bayesian Statistics for 2D/3D Transformations R package TriDimRegression version 1.0.3 Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) <https://mc-stan.org>). 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) <doi:10.1007/s11222-016-9696-4>) as well as Bayesian R-squared (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) <doi:10.1080/00031305.2018.1549100>). Software 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), StanHeaders (>= 2.26.0) Suggests: testthat, knitr, rmarkdown, ggplot2 Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com> Comprehensive R Archive Network (CRAN) Alexander (Sasha) Pastukhov [aut, cre] (ORCID: <https://orcid.org/0000-0002-8738-8591>), Claus-Christian Carbon [aut] (ORCID: <https://orcid.org/0000-0002-3446-9347>) GPL-3 2025-10-09 application/tgz https://CRAN.R-project.org/package=TriDimRegression doi:10.32614/CRAN.package.TriDimRegression