TriDimRegression: 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) <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>).

Package details

AuthorAlexander (Sasha) Pastukhov [aut, cre] (<>), Claus-Christian Carbon [aut] (<>)
MaintainerAlexander (Sasha) Pastukhov <>
Package repositoryView on CRAN
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TriDimRegression documentation built on Sept. 13, 2023, 5:07 p.m.