DESCRIPTION

Package: TriDimRegression
Title: Bayesian Statistics for 2D/3D Transformations
Version: 1.0.1
Authors@R: c(
  person(given = "Alexander",
         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
Roxygen: list(markdown = 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 (>= 2.26.0),
    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 (>= 2.26.0),
    StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    ggplot2