is_marg_liks: Determine if the 'marg_liks' is valid

In mcbette: Model Comparison Using 'babette'

Determine if the marg_liks is valid

Description

Determine if the marg_liks is valid

Usage

is_marg_liks(marg_liks, verbose = FALSE)

Arguments

marg_liks

a table of (estimated) marginal likelihoods, as, for example, created by est_marg_liks. This data.frame has the following columns: site_model_name: name of the site model, must be an element of get_site_model_names clock_model_name: name of the clock model, must be an element of get_clock_model_names tree_prior_name: name of the tree prior, must be an element of get_tree_prior_names marg_log_lik: estimated marginal (natural) log likelihood marg_log_lik_sd: estimated error of marg_log_lik weight: relative model weight, a value from 1.0 (all evidence is in favor of this model combination) to 0.0 (no evidence in favor of this model combination) ess: effective sample size of the marginal likelihood estimation Use get_test_marg_liks to get a test marg_liks. Use is_marg_liks to determine if a marg_liks is valid. Use check_marg_liks to check that a marg_liks is valid.

verbose

if TRUE show debug output

Value

TRUE if the argument is a valid marg_liks, FALSE otherwise

mcbette documentation built on Sept. 11, 2024, 8:24 p.m.