create_test_pir_run_output2: Create the same output of pir_run to be used for testing, but...

In richelbilderbeek/pirouette: Create a Bayesian Posterior from a Phylogeny

Create the same output of pir_run to be used for testing, but with more data

Description

Create the same output of pir_run to be used for testing, but with more data

Usage

create_test_pir_run_output2(add_twin = FALSE, add_best = FALSE, n_errors = 200)

Arguments

add_twin	add rows for twin tree
add_best	add rows for best inference model
n_errors	number of errors in the pir_out

Value

a data frame with errors, with as many rows as model selection parameter sets. The output can be checked using check_pir_out.

Author(s)

Giovanni Laudanno, Richèl J.C. Bilderbeek

Examples

  pir_plot(
    create_test_pir_run_output2(
      add_twin = TRUE,
      add_best = TRUE,
      n_errors = 1e2
    )
  )

richelbilderbeek/pirouette documentation built on Oct. 18, 2023, 3:09 p.m.