Use ggplot to create a plot of the evidence, importance weights, and normalized
likelihood values over the estimated volumes from a nested sampling run.
Usage
# S3 method for class 'ernest_sampler'
plot(x, exponentiate = TRUE, true_log_z = NULL, ...)
Arguments
- x
An ernest_sampler object.
- exponentiate
Whether to transform log values before plotting.
Note that volume estimates are always plotted in negative log units.
- true_log_z
The analytic evidence value on a log scale.
- ...
Must be left empty.
Value
A plot of the run's progress, which is made up of three stacked plots:
Normalized likelihood values over log volumes.
importance weights over log volumes.
Model evidence over log volumes, with an error envelope showing the 1 and 2
standard deviations of the estimate.