Provides a summary of an ernest_run object, including key statistics and a
tibble of results for each iteration.
Usage
# S3 method for class 'ernest_run'
summary(object, ...)Value
A list of class summary.ernest_run with the following components:
n_iter: Integer. Number of iterations performed.n_points: Integer. Number of live points used in the run.n_calls: Integer. Total number of likelihood function calls.log_volume: Double. Final estimated log-prior volume.log_evidence: Double. Final log-evidence estimate.log_evidence_err: Double. Standard deviation of the log-evidence estimate.draws: Posterior draws as returned byas_draws().runA tibble::tibble.
run stores the state of the run at each iteration with these columns:
call: Cumulative number of likelihood calls.log_lik: Log-likelihood for each sample.log_volume: Estimated log-prior volume.log_weight: Unnormalized log-weights (relative to evidence).log_evidence: Cumulative log-evidence.log_evidence_err: Standard deviation of log-evidence.information: Estimated KL divergence at each iteration.
See also
generate()for details on theernest_runobject.as_draws()for more information ondrawsobjects.
Examples
# Load an example run
data(example_run)
# Summarize the run and view a tibble of its results.
run_sm <- summary(example_run)
run_sm
#> nested sampling result summary <summary.ernest_run>
#> • No. Points: 1000
#> • No. Iterations: 9398
#> ────────────────────────────────────────────────────────────────────────────────
#> • No. Calls: 205628
#> • Log. Volume: -16.88
#> • Log. Evidence: -9.061 (± 0.08303)
run_sm$run
#> # A tibble: 10,398 × 7
#> call log_lik log_volume log_weight log_evidence log_evidence_err information
#> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 -147. -0.001 -145. -154. 7.07e-33 -5.00e-62
#> 2 2 -141. -0.002 -139. -148. 1.83e-31 -3.34e-59
#> 3 3 -136. -0.003 -134. -143. 1.87e-30 -3.48e-57
#> 4 4 -136. -0.004 -133. -142. 3.77e-30 -1.42e-56
#> 5 5 -134. -0.005 -131. -140. 8.37e-30 -7.00e-56
#> 6 6 -130. -0.006 -128. -137. 3.89e-29 -1.51e-54
#> 7 7 -130. -0.007 -128. -136. 6.89e-29 -4.75e-54
#> 8 8 -129. -0.008 -127. -135. 1.10e-28 -1.20e-53
#> 9 9 -129. -0.009 -127. -135. 1.56e-28 -2.44e-53
#> 10 10 -126. -0.01 -123. -132. 4.05e-28 -1.64e-52
#> # ℹ 10,388 more rows