ggdmcPrior: Prior Probability Functions of the Standard and Truncated Distribution

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

Documentation:

Reference manual:

ggdmcPrior.html , ggdmcPrior.pdf

Downloads:

Package source:	ggdmcPrior_0.2.9.0.tar.gz
Windows binaries:	r-devel: ggdmcPrior_0.2.9.0.zip, r-release: ggdmcPrior_0.2.9.0.zip, r-oldrel: ggdmcPrior_0.2.9.0.zip
macOS binaries:	r-release (arm64): ggdmcPrior_0.2.9.0.tgz, r-oldrel (arm64): ggdmcPrior_0.2.9.0.tgz, r-release (x86_64): ggdmcPrior_0.2.9.0.tgz, r-oldrel (x86_64): ggdmcPrior_0.2.9.0.tgz

Reverse dependencies:

Reverse imports:

ddModel, lbaModel

Linking:

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