calc_summary_stats_traces: Calculates the Effective Sample Sizes of the traces of...

Description Usage Arguments Value Author(s) See Also Examples

Description

Calculates the Effective Sample Sizes of the traces of multiple estimated variables.

Usage

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calc_summary_stats_traces(traces, sample_interval)

Arguments

traces

a data frame with traces of estimated parameters. Assumes the burn-ins are removed.

sample_interval

the interval in timesteps between samples

Value

the effective sample sizes

Author(s)

Richèl J.C. Bilderbeek

See Also

Use remove_burn_ins to remove the burn-ins of all traces

Examples

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  estimates_all <- parse_beast_log(get_tracerer_path("beast2_example_output.log"))
  estimates <- remove_burn_ins(estimates_all, burn_in_fraction = 0.1)

  sum_stats <- calc_summary_stats_traces(
    estimates,
    sample_interval = 1000
  )

  testit::assert("mean" %in% colnames(sum_stats))

ropensci/tracerer documentation built on May 14, 2019, 8:55 p.m.