double.model: Prior distributions for a real valued scalar
In Boom: Bayesian Object Oriented Modeling
double.model R Documentation
Prior distributions for a real valued scalar
Description
A DoubleModel is a class of prior distributions for
real valued scalar parameters. A DoubleModel is sometimes used
by a probability model that does not have a conjugate prior.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
See Also
BetaPrior,
GammaPrior,
LognormalPrior,
NormalPrior,
SdPrior,
TruncatedGammaPrior,
and UniformPrior.
Boom documentation built on Nov. 10, 2022, 5:56 p.m.
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| double.model | R Documentation |
Prior distributions for a real valued scalar
Description
A DoubleModel is a class of prior distributions for
real valued scalar parameters. A DoubleModel is sometimes used
by a probability model that does not have a conjugate prior.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
See Also
BetaPrior,
GammaPrior,
LognormalPrior,
NormalPrior,
SdPrior,
TruncatedGammaPrior,
and UniformPrior.
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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