Package: TriDimRegression
Title: Bayesian Statistics for 2D/3D Transformations
Version: 1.0.3
Authors@R: c(
  person(given = "Alexander (Sasha)",
         family = "Pastukhov",
         role = c("aut", "cre"),
         email ="pastukhov.alexander@gmail.com",
         comment = c(ORCID = "0000-0002-8738-8591")),
  person(given = "Claus-Christian",
         family = "Carbon",
         role = c("aut"),
         email = "ccc@experimental-psychology.com",
         comment = c(ORCID = "0000-0002-3446-9347")))
Description: 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>).
License: GPL-3
URL: https://github.com/alexander-pastukhov/tridim-regression,
        https://alexander-pastukhov.github.io/tridim-regression/
BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Biarch: true
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)
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, ggplot2
NeedsCompilation: yes
Packaged: 2025-10-09 16:27:06 UTC; ba7dr4
Author: Alexander (Sasha) Pastukhov [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8738-8591>),
  Claus-Christian Carbon [aut] (ORCID:
    <https://orcid.org/0000-0002-3446-9347>)
Maintainer: Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-09 16:50:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-10 04:54:53 UTC; windows
Archs: x64
