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: 1.0.2 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: 2023-09-13 DOI: 10.32614/CRAN.package.TriDimRegression Author: Alexander (Sasha) Pastukhov [aut, cre], Claus-Christian Carbon [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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=TriDimRegression to link to this page.
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