ggdmcPrior: ggdmc module for standard and truncated distributions
In ggdmcPrior: Prior Probability Functions of the Standard and Truncated Distribution
ggdmcPrior R Documentation
ggdmc module for standard and truncated distributions
Description
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.
Author(s)
Yi-Shin Lin <yishinlin001@gmail.com>
ggdmcPrior documentation built on Aug. 8, 2025, 7:13 p.m.
R Package Documentation
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| ggdmcPrior | R Documentation |
ggdmc module for standard and truncated distributions
Description
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.
Author(s)
Yi-Shin Lin <yishinlin001@gmail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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