create_ns_inference_model: Create an inference model to measure the evidence of.

View source: R/create_ns_inference_model.R

create_ns_inference_modelR Documentation

Create an inference model to measure the evidence of.

Description

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)

Usage

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

Author(s)

Richèl J.C. Bilderbeek

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.

Examples

check_empty_beautier_folder()

inference_model <- create_ns_inference_model()

check_empty_beautier_folder()

beautier documentation built on Nov. 2, 2023, 5:08 p.m.