improper_uniform_log_density {gk} | R Documentation |
Improper uniform log density
Description
Returns log density of an improper prior for the g-and-k or g-and-h distribution
Usage
improper_uniform_log_density(theta)
Arguments
theta |
A vector of 4 parameters representing (A,B,g,k) or (A,B,g,h) |
Details
improper_uniform_log_density
takes a 4 parameter vector as input and returns a log density value.
The output corresponds to an improper uniform with constraints that the second and fourth parameters should be non-negative.
These ensure that the resulting parameters are valid to use in the g-and-k or g-and-h distribution is valid.
This function is supplied as a convenient default prior to use in the mcmc
function.
Value
Value of an (unnormalised) log density
Examples
improper_uniform_log_density(c(0,1,0,0)) ##Valid parameters - returns 0
improper_uniform_log_density(c(0,-1,0,0)) ##Invalid parameters - returns -Inf
[Package gk version 0.6.0 Index]