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TriDimRegression: Bayesian Statistics for 2D/3D Transformations
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>).
Getting started
Browse package contents
Package details |
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| Author | Alexander (Sasha) Pastukhov [aut, cre] (<https://orcid.org/0000-0002-8738-8591>), Claus-Christian Carbon [aut] (<https://orcid.org/0000-0002-3446-9347>) |
| Maintainer | Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com> |
| License | GPL-3 |
| Version | 1.0.2 |
| URL | https://github.com/alexander-pastukhov/tridim-regression https://alexander-pastukhov.github.io/tridim-regression/ |
| Package repository | View on CRAN |
| Installation |
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