Skip to contents

Calculates the Effective Sample Sizes of one estimated variable's trace.

Source: R/calc_summary_stats.R
calc_summary_stats_trace.Rd

Calculates the Effective Sample Sizes of one estimated variable's trace.

Usage

calc_summary_stats_trace(trace, sample_interval)

Arguments

trace

a numeric vector of values. Assumes the burn-in is removed.

sample_interval

the interval in timesteps between samples

Value

the effective sample sizes

See also

Use remove_burn_in to remove the burn-in of a trace

Author

Richèl J.C. Bilderbeek

Examples

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

calc_summary_stats_trace(
  estimates$posterior,
  sample_interval = 1000
)
#>        mean stderr_mean    stdev variance    median mode geom_mean
#> 1 -70.58394   0.5044887 1.681629 2.827876 -69.87976  n/a       n/a
#>   hpd_interval_low hpd_interval_high  act ess
#> 1        -74.15268         -68.68523 1000  10