mvn.diagonal.prior: diagonal MVN prior
In Boom: Bayesian Object Oriented Modeling
mvn.diagonal.prior R Documentation
diagonal MVN prior
Description
A multivariate normal prior distribution formed by the
product of independent normal margins.
Usage
MvnDiagonalPrior(mean.vector, sd.vector)
Arguments
mean.vector
A vector giving the mean of the prior distribution.
sd.vector
The standard deviations of the components in the
distribution. I.e. the square root of the diagonal of the variance
matrix.
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 Nov. 10, 2022, 5:56 p.m.
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| mvn.diagonal.prior | R Documentation |
diagonal MVN prior
Description
A multivariate normal prior distribution formed by the product of independent normal margins.
Usage
MvnDiagonalPrior(mean.vector, sd.vector)
Arguments
mean.vector |
A vector giving the mean of the prior distribution. |
sd.vector |
The standard deviations of the components in the distribution. I.e. the square root of the diagonal of the variance matrix. |
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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