Package: TriDimRegression
Title: Bayesian Statistics for 2D/3D Transformations
Version: 1.0.1
Authors@R: c(
  person("Alexander (Sasha)", "Pastukhov", role = c("cre", "ctb"), email ="pastukhov.alexander@gmail.com"),
  person("Claus-Christian", "Carbon", role = c("aut"), email ="ccc@experimental-psychology.com"))
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
BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Biarch: true
Depends: R (>= 3.5.0), loo
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
        2.18.1), rstantools (>= 2.1.1), 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 (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, ggplot2
NeedsCompilation: yes
Packaged: 2021-10-05 08:06:16 UTC; sasha
Author: Alexander (Sasha) Pastukhov [cre, ctb],
  Claus-Christian Carbon [aut]
Maintainer: Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-05 08:30:08 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2023-09-06 03:46:40 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
