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>).

Package details

AuthorAlexander (Sasha) Pastukhov [cre, ctb], Claus-Christian Carbon [aut]
MaintainerAlexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>
LicenseGPL-3
Version1.0.0.0
URL https://github.com/alexander-pastukhov/tridim-regression
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TriDimRegression")

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TriDimRegression documentation built on May 4, 2021, 9:08 a.m.