Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021) <doi:10.1080/01621459.2020.1801448>.
Version: | 0.4.2 |
Depends: | R (≥ 4.1.0) |
Imports: | Rcpp (≥ 1.0.6), gtools, LaplacesDemon, dplyr, plyr, tidyr, ggplot2, latex2exp, reshape2, RColorBrewer |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress, rgen |
Suggests: | rmarkdown, knitr |
Published: | 2024-01-17 |
DOI: | 10.32614/CRAN.package.lddmm |
Author: | Giorgio Paulon [aut, cre], Abhra Sarkar [aut, ctb] |
Maintainer: | Giorgio Paulon <giorgio.paulon at utexas.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README |
CRAN checks: | lddmm results |
Reference manual: | lddmm.pdf |
Vignettes: |
minimal_example |
Package source: | lddmm_0.4.2.tar.gz |
Windows binaries: | r-devel: lddmm_0.4.2.zip, r-release: lddmm_0.4.2.zip, r-oldrel: lddmm_0.4.2.zip |
macOS binaries: | r-release (arm64): lddmm_0.4.2.tgz, r-oldrel (arm64): lddmm_0.4.2.tgz, r-release (x86_64): lddmm_0.4.2.tgz, r-oldrel (x86_64): lddmm_0.4.2.tgz |
Old sources: | lddmm archive |
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