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Provides tools for specifying and evaluating standard and truncated probability distributions, with support for log-space computation and joint distribution specification. It enables Bayesian computation for cognition models and includes utilities for density calculation, sampling, and visualisation, facilitating prior distribution specification and model assessment in hierarchical Bayesian frameworks.
Version: | 0.2.9.0 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.7), methods, lattice |
LinkingTo: | Rcpp (≥ 1.0.7), RcppArmadillo (≥ 0.10.7.5.0), ggdmcHeaders |
Suggests: | testthat, ggdmcModel |
Published: | 2025-07-24 |
DOI: | 10.32614/CRAN.package.ggdmcPrior |
Author: | Yi-Shin Lin [aut, cre] |
Maintainer: | Yi-Shin Lin <yishinlin001 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | ggdmcPrior results |
Reference manual: | ggdmcPrior.html , ggdmcPrior.pdf |
Package source: | ggdmcPrior_0.2.9.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: ggdmcPrior_0.2.9.0.zip, r-oldrel: ggdmcPrior_0.2.9.0.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ggdmcPrior_0.2.9.0.tgz, r-oldrel (x86_64): ggdmcPrior_0.2.9.0.tgz |
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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.
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