Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021).
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.6), RcppProgress, rgen, gtools, LaplacesDemon, dplyr, plyr, tidyr, ggplot2, latex2exp, reshape2, RColorBrewer |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress, rgen |
| Suggests: | rmarkdown, knitr |
| Published: | 2021-11-08 |
| 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_0.1.0.tar.gz |
| Windows binaries: | r-devel: lddmm_0.1.0.zip, r-release: lddmm_0.1.0.zip, r-oldrel: lddmm_0.1.0.zip |
| macOS binaries: | r-release (arm64): lddmm_0.1.0.tgz, r-oldrel (arm64): lddmm_0.1.0.tgz, r-release (x86_64): lddmm_0.1.0.tgz, r-oldrel (x86_64): lddmm_0.1.0.tgz |
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