Package: lddmm
Type: Package
Title: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Version: 0.1.0
Date: 2021-11-02
Authors@R: c(person("Giorgio", "Paulon", email = "giorgio.paulon@utexas.edu",
                    role = c("aut", "cre")), 
             person("Abhra", "Sarkar", email = "abhra.sarkar@utexas.edu",
                    role = c("aut", "ctb")))
Description: Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021).
Depends: R (>= 3.5.0)
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.6), RcppProgress, rgen, gtools, LaplacesDemon,
        dplyr, plyr, tidyr, ggplot2, latex2exp, reshape2, RColorBrewer
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, rgen
RoxygenNote: 7.1.2
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-11-06 15:30:40 UTC; giorgio
Author: Giorgio Paulon [aut, cre],
  Abhra Sarkar [aut, ctb]
Maintainer: Giorgio Paulon <giorgio.paulon@utexas.edu>
Repository: CRAN
Date/Publication: 2021-11-08 12:10:08 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 12:41:40 UTC; windows
Archs: i386, x64
