uniform.prior: Uniform prior distribution
In Boom: Bayesian Object Oriented Modeling
uniform.prior R Documentation
Uniform prior distribution
Description
Specifies a uniform prior distribution on a real-valued
scalar parameter.
Usage
UniformPrior(lo = 0, hi = 1, initial.value = NULL)
Arguments
lo
The lower limit of support.
hi
The upper limit of support.
initial.value
The initial value of the parameter in question to
use in the MCMC algorithm. If NULL then the mean (lo +
hi)/2 is used.
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
References
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman
and Hall.
Boom documentation built on May 29, 2024, 5:08 a.m.
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| uniform.prior | R Documentation |
Uniform prior distribution
Description
Specifies a uniform prior distribution on a real-valued scalar parameter.
Usage
UniformPrior(lo = 0, hi = 1, initial.value = NULL)
Arguments
lo |
The lower limit of support. |
hi |
The upper limit of support. |
initial.value |
The initial value of the parameter in question to
use in the MCMC algorithm. If |
Author(s)
Steven L. Scott steve.the.bayesian@gmail.com
References
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.
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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