Build a prior from arbitrary sampling / density functions — prior_custom • neuralsbi

Build a prior from arbitrary sampling / density functions

Usage

prior_custom(sample_fn, log_prob_fn = NULL, dim, lower = NULL, upper = NULL)

Arguments

sample_fn: Function function(n) returning an n x dim matrix.
log_prob_fn: Function function(theta) returning a length-n vector of log densities. Optional; required only for methods/diagnostics that need it.
dim: Number of parameters.
lower, upper: Optional support bounds (numeric vectors) enabling out-of-support rejection.

Value

An nsbi_prior object.