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Boom (version 0.4)
mvn.diagonal.prior: 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.
References
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.