| mvn.diagonal.prior {Boom} | 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.
[Package Boom version 0.9.15 Index]