Posterior log-density — log_prob • neuralsbi

Posterior log-density

Usage

log_prob(post, theta, x = NULL, normalize = TRUE, n_normalization = 10000L)

Arguments

post: An nsbi_posterior object.
theta: Matrix (or vector) of parameter values to evaluate.
x: Observation to condition on (defaults to x_obs).
normalize: For bounded priors, renormalize by the estimated acceptance probability and return -Inf outside the prior support.
n_normalization: Number of draws used to estimate the normalizing (acceptance) constant when normalize = TRUE.

Value

Numeric vector of log posterior densities.