View source: R/expansions_infer.R
expansions_infer | R Documentation |
Run rjmcmc inference on the provided preprocessed phylogeny, and using provided prior distributions This is a barebones method for advanced usage. For standard usage refer to 'run_expansion_inference'
expansions_infer(
pre,
prior_i,
prior_N,
prior_t_mid_given_N,
prior_t_mid_given_N.sample,
prior_K_given_N,
prior_K_given_N.sample,
prior_t_given_N,
prior_t_given_N.sample,
concentration,
n_it = 1e+06,
thinning = 1,
init = NULL,
debug = FALSE
)
pre |
Preprocessed phylogeny |
prior_i |
Prior likelihood on number of expansions |
prior_N |
Prior likelihood on background population size |
prior_t_mid_given_N |
Prior likelihood on expansion time to midpoint given background population size |
prior_t_mid_given_N.sample |
Sampling function for prior on time to midpoint given background population size |
prior_t_given_N |
Prior likelihood on expansion time given background population size |
prior_t_given_N.sample |
Sampling function for prior on expansion timegiven background population size |
concentration |
concentration parameter for the dirichlet prior on expansion membership probabilities |
n_it |
number of MCMC iterations |
thinning |
mcmc output thinning |
init |
initial state for the mcmc chain |
debug |
debug flag |
prior_K_mid_given_N |
Prior likelihood on expansion carrying capacity given background population size |
prior_K_mid_given_N.sample |
Sampling function for prior on expansion carrying capacity given background population size |
a list of MCMC states
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.