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Hierarchical Bayesian models. The package provides tools to fit two response time models, using the population-based Markov Chain Monte Carlo.
Version: | 0.2.6.0 |
Depends: | R (≥ 3.3.0) |
Imports: | Rcpp (≥ 0.12.10), coda, stats, utils, ggplot2, matrixStats, data.table (≥ 1.10.4) |
LinkingTo: | Rcpp (≥ 0.12.10), RcppArmadillo (≥ 0.7.100.3.0) |
Suggests: | testthat |
Published: | 2019-04-29 |
DOI: | 10.32614/CRAN.package.ggdmc |
Author: | Yi-Shin Lin [aut, cre], Andrew Heathcote [aut] |
Maintainer: | Yi-Shin Lin <yishinlin001 at gmail.com> |
BugReports: | https://github.com/yxlin/ggdmc/issues |
License: | GPL-2 |
URL: | https://github.com/yxlin/ggdmc |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | ggdmc results |
Reference manual: | ggdmc.pdf |
Package source: | ggdmc_0.2.6.0.tar.gz |
Windows binaries: | r-devel: ggdmc_0.2.6.0.zip, r-release: ggdmc_0.2.6.0.zip, r-oldrel: ggdmc_0.2.6.0.zip |
macOS binaries: | r-release (arm64): ggdmc_0.2.6.0.tgz, r-oldrel (arm64): ggdmc_0.2.6.0.tgz, r-release (x86_64): ggdmc_0.2.6.0.tgz, r-oldrel (x86_64): ggdmc_0.2.6.0.tgz |
Old sources: | ggdmc archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.