calc_summary_stats_traces {tracerer}R Documentation

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

Description

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

Usage

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

  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))

[Package tracerer version 2.0.1 Index]