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>).">

TriDimRegression: Bayesian Statistics for 2D/3D Transformations (original) (raw)

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>).

Version: 1.0.3
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
Published: 2025-10-09
DOI: 10.32614/CRAN.package.TriDimRegression
Author: Alexander (Sasha) PastukhovORCID iD [aut, cre], Claus-Christian CarbonORCID iD [aut]
Maintainer: Alexander (Sasha) Pastukhov <pastukhov.alexander at gmail.com>
BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues
License: GPL-3
URL: https://github.com/alexander-pastukhov/tridim-regression,https://alexander-pastukhov.github.io/tridim-regression/
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README, NEWS
CRAN checks: TriDimRegression results

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