Construction of Prior Distributions
Constructing prior distibutions for the location, scale and shape parameters using normal, beta or gamma distributions. A linear trend for the location can also be specified, using a prior normal distribution centered at zero for the trend parameter.
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Numeric vectors of length three and four
Beta prior distibutions are placed on probability ratios
corresponding to the quantiles given in
Numeric vectors of length three.
Gamma prior distibutions, with parameters
The prior distibution for the location, log(scale)
and shape is taken to be trivariate normal, with mean
The standard deviation for the marginal normal prior distribution (with mean zero) placed on the linear trend parameter for the location. If this is zero (the default) a linear trend is not implemented.
See the user's guide.
Returns an object of class
"evprior", which is essentially
just a list of the arguments passed.
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