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Summarise an ernest_sampler object

summary.ernest_sampler.Rd

summary() method for ernest_sampler objects, producing an S3 object describing a unit's run.

Usage

# S3 method for class 'ernest_sampler'
summary(object, ...)

Arguments

object

An ernest_sampler object.

...

Must be empty.

Value

A list with class summary.ernest_sampler containing these named elements:

  • n_points: The number of live points used in the run; a scalar integer.

  • n_iter: The number of iterations; a scalar integer.

  • n_call: The total number of function calls; a scalar integer.

  • eff: The overall sampling efficiency; a scalar double.

  • log_weight: The posterior log-weight associated with each point; a vector of doubles.

  • log_lik: The log-likelihood associated with each point; a vector of doubles.

  • log_vol: The estimated log-volume associated with each point; a vector of doubles.

  • log_z: The cumulative evidence estimate at each iteration; a vector of doubles.

  • log_z_err: The estimated error (standard deviation) of log_z; a vector of doubles.

  • information: The estimated information at each iteration; a vector of doubles.