calc_summary_stats_trace: Calculates the Effective Sample Sizes of one estimated...

In ropensci/tracerer: Tracer from R

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

Description

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

Author(s)

Richèl J.C. Bilderbeek

See Also

Use remove_burn_in to remove the burn-in of a trace

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
)

ropensci/tracerer documentation built on Oct. 1, 2023, 2:03 p.m.