Create an inference model to measure the evidence of. To do so, the inference model is created as usual (see create_inference_model), except for using a Nested Sampling MCMC (see create_ns_mcmc)

create_ns_inference_model(
  site_model = beautier::create_jc69_site_model(),
  clock_model = beautier::create_strict_clock_model(),
  tree_prior = beautier::create_yule_tree_prior(),
  mcmc = beautier::create_ns_mcmc()
)

Arguments

site_model

a site model, as returned by create_site_model

clock_model

a clock model, as returned by create_clock_model

tree_prior

a tree priors, as returned by create_tree_prior

mcmc

one MCMC. Use create_mcmc to create an MCMC. Use create_ns_mcmc to create an MCMC for a Nested Sampling run. Use check_mcmc to check if an MCMC is valid. Use rename_mcmc_filenames to rename the filenames in an MCMC.

Value

an inference model

See also

Use create_inference_model to create a regular inference model. Use create_test_ns_inference_model to create an inference model to estimate the marginal likelihood with a short MCMC, to be used in testing.

Author

Richèl J.C. Bilderbeek

Examples

inference_model <- create_ns_inference_model()