Lets you view the numerical values of the log prior density and of the log Jacobian at the initial values or the posterior mode values. The log Jacobian is computed as the sum of the diagonal elements of the matrix with derivatives of the original parameters, θ, with respect to the transformed parameters, ϕ. The sum of the log prior of θ and the log Jacobian is equal to the log prior of ϕ.
Additional Information
• | A more detailed description about the prior densities can also be found in Section 2.2 of the YADA Manual. |
• | The log Jacobian of the transformation function θ = g(ϕ) is given in Section 6. |
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