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All functions

as_draws(<ernest_run>) as_draws_matrix(<ernest_run>) as_draws_rvars(<ernest_run>)
Transform nested sampling runs to draws objects
calculate(<ernest_run>)
Estimate Evidence using a Nested Sampling Run
compile(<ernest_sampler>) compile(<ernest_run>)
Compile a set of live points for nested sampling
create_likelihood()
Prepare a likelihood function for nested sampling
create_normal_prior()
Specify a prior with normally distributed marginals
create_prior()
Specify a prior distribution for nested sampling
create_uniform_prior()
Specify a prior with uniformly distributed marginals
ernest_sampler()
Prepare a new nested sampling run
example_run
Example Nested Sampling Run with Ernest
generate(<ernest_sampler>)
Run nested sampling to estimate Bayesian evidence
plot(<ernest_estimate>) plot(<ernest_run>)
Plot diagnostics for a nested sampling run
rwmh_cube()
Random walk over the unconstrained prior distribution
summary(<ernest_run>)
Summarize a nested sampling run
unif_cube()
Uniformly sample from the unconstrained prior distribution
visualize(<ernest_run>)
Plot the posterior distribution of an ernest_run