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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 |
| 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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