Hierarchical Bayesian modelling. The 'ggdmc' package provides tools designed for fitting cognitive models, using population-based Markov Chain Monte Carlo (pMCMC) and fast C++ libraries. The paper by Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2018, <doi:10.3758/s13428-018-1067-y>) describes the early prototype of the package (by the version 0.4.2). The paper accompanied with the revamped latest version (> 0.2.4.5) is under preparation Lin, Strickland, Reynold, and Heathcote (2018) and a further paper regarding the new pMCMC sampling modified based on Hu and Tsai's (2010) work is also under preparation. See 'citation("ggdmc")' for details.
| Version: | 0.2.5.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Rcpp (≥ 0.12.10), coda, rtdists, ggmcmc (≥ 0.7.3), stats, utils, data.table (≥ 1.10.4), tmvtnorm, ggplot2, matrixStats |
| LinkingTo: | Rcpp (≥ 0.12.10), RcppArmadillo (≥ 0.7.100.3.0), BH |
| Published: | 2018-09-01 |
| Author: | Yi-Shin Lin [aut, cre], Andrew Heathcote [aut] |
| Maintainer: | Yi-Shin Lin <yishin.lin at utas.edu.au> |
| BugReports: | https://github.com/yxlin/ggdmc/issues |
| License: | GPL-2 |
| URL: | https://github.com/yxlin/ggdmc |
| NeedsCompilation: | yes |
| Citation: | ggdmc citation info |
| Materials: | README NEWS |
| CRAN checks: | ggdmc results |
| Reference manual: | ggdmc.pdf |
| Package source: | ggdmc_0.2.5.2.tar.gz |
| Windows binaries: | r-devel: ggdmc_0.2.5.2.zip, r-release: ggdmc_0.2.5.2.zip, r-oldrel: ggdmc_0.2.5.2.zip |
| OS X binaries: | r-release: ggdmc_0.2.5.2.tgz, r-oldrel: not available |
| Old sources: | ggdmc archive |
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