Package: lddmm
Type: Package
Title: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Version: 0.4.2
Date: 2024-01-17
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) <doi:10.1080/01621459.2020.1801448>.
Depends: R (>= 4.1.0)
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.6), gtools, LaplacesDemon, dplyr, plyr, tidyr,
        ggplot2, latex2exp, reshape2, RColorBrewer
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, rgen
RoxygenNote: 7.2.3
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-01-17 20:00:33 UTC; giorgio
Author: Giorgio Paulon [aut, cre],
  Abhra Sarkar [aut, ctb]
Maintainer: Giorgio Paulon <giorgio.paulon@utexas.edu>
Repository: CRAN
Date/Publication: 2024-01-17 20:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-07-01 05:22:53 UTC; windows
Archs: x64
