R: Gaussian prior

logpr_gauss

R Documentation

Gaussian prior

logpr = new(logpr_gauss, om, terms)

This is a standard model of coefficients which has them as drawn independently from

θ_i \sim N(0, ρ c_i)

where c_i is the variance supplied by om for the ith term. The parameter vector is of length 1 where ρ= exp(para[0]).

`om`	an `outermod` instance to be referred to
`terms`	a matrix of `terms`, must have as many columns as dims in `om`

no returns, this is a class which contains methods