A Toolkit for Nested Sampling
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Documentation for package ‘ernest’ version 1.2.4
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 |