diff.double.model: DiffDoubleModel
In Boom: Bayesian Object Oriented Modeling
diff.double.model R Documentation
DiffDoubleModel
Description
A 'DiffDoubleModel' is tag given to a probability
distribution that measures a real-valued scalar outcome, and whose log
density is twice differentiable with respect to the random variable.
The tag is a signal to underlying C++ code that the object being
passed is one of a subset of understood distributions. Presently
that subset includes the following distributions.
SdPrior
NormalPrior
BetaPrior
UniformPrior
GammaPrior
TruncatedGammaPrior
LognormalPrior
Clearly this list is non-exhaustive, and other distributions may be
added in the future.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
Boom documentation built on Nov. 10, 2022, 5:56 p.m.
R Package Documentation
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| diff.double.model | R Documentation |
DiffDoubleModel
Description
A 'DiffDoubleModel' is tag given to a probability distribution that measures a real-valued scalar outcome, and whose log density is twice differentiable with respect to the random variable. The tag is a signal to underlying C++ code that the object being passed is one of a subset of understood distributions. Presently that subset includes the following distributions.
SdPriorNormalPriorBetaPriorUniformPriorGammaPriorTruncatedGammaPriorLognormalPrior
Clearly this list is non-exhaustive, and other distributions may be added in the future.
Author(s)
Steven L. Scott steve.the.bayesian@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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