Bayesian Statistics for 2D/3D Transformations

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) ).


Reference manual

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1.0.1 by Alexander (Sasha) Pastukhov, 18 days ago

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Browse source code at

Authors: Alexander (Sasha) Pastukhov [cre, ctb] , Claus-Christian Carbon [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports methods, Rcpp, RcppParallel, rstan, rstantools, dplyr, future, glue, purrr, tidyr, Formula, bayesplot

Depends on loo

Suggests testthat, knitr, rmarkdown, ggplot2

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make

See at CRAN