# A Toolkit for Nested Sampling

## Documentation for package ‘ernest’ version 1.2.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

+.ernest_prior | Prepare a prior transformation for nested sampling
as_draws.ernest_run | Transform nested sampling runs to 'draws' objects
as_draws_matrix.ernest_run | Transform nested sampling runs to 'draws' objects
as_draws_rvars.ernest_run | Transform nested sampling runs to 'draws' objects
calculate.ernest_run | Estimate Evidence using a Nested Sampling Run
compile.ernest_run | Compile the live set of points for nested sampling
compile.ernest_sampler | Compile the live set of points for nested sampling
create_likelihood | Prepare a likelihood function for nested sampling
create_normal_prior | Uniform distribution
create_prior | Prepare a prior transformation for nested sampling
create_uniform_prior | Uniform distribution
ernest_estimate | Estimate Evidence using a Nested Sampling Run
ernest_likelihood | Prepare a likelihood function for nested sampling
ernest_prior | Prepare a prior transformation for nested sampling
ernest_run | Run nested sampling to estimate Bayesian evidence
ernest_sampler | Prepare a new nested sampling run
example_run | Example Nested Sampling Run with Ernest
generate.ernest_run | Run nested sampling to estimate Bayesian evidence
generate.ernest_sampler | Run nested sampling to estimate Bayesian evidence
multi_ellipsoid | Generate new points from multiple spanning ellipsoids
plot.ernest_estimate | Plot diagnostics from nested sampling results
plot.ernest_run | Plot diagnostics from nested sampling results
rwmh_cube | Generate new points with a random walk
slice_rectangle | Generate new points with slice sampling
summary.ernest_estimate | Plot diagnostics from nested sampling results
summary.ernest_run | Summarize a nested sampling run
unif_cube | Generate new points from the unconstrained prior distribution
unif_ellipsoid | Generate new points from the spanning ellipsoid
visualize.ernest_run | Visualize posterior distributions or traces from a nested sampling run
weights.ernest_run | Extract the posterior sample weights from a nested sampling run