Likelihood for SecSSE model Loglikelihood calculation for the SecSSE model given a set of parameters and data, calculated for a single branch

Usage

secsse_single_branch_loglik(
  parameter,
  phy,
  traits,
  num_concealed_states,
  cond = "proper_cond",
  root_state_weight = "proper_weights",
  sampling_fraction,
  setting_calculation = NULL,
  see_ancestral_states = FALSE,
  loglik_penalty = 0,
  is_complete_tree = FALSE,
  take_into_account_root_edge = FALSE,
  num_threads = 1,
  atol = 1e-08,
  rtol = 1e-07,
  method = "odeint::runge_kutta_cash_karp54",
  display_warning = TRUE,
  use_normalization = TRUE,
  return_root_state = FALSE
)

Arguments

parameter: list where first vector represents lambdas, the second mus and the third transition rates.
phy: phylogenetic tree of class phylo, rooted and with branch lengths. Alternatively, multiple phylogenetic trees can be provided as the multiPhylo class.
traits: vector with trait states for each tip in the phylogeny. The order of the states must be the same as the tree tips. For help, see vignette("starting_secsse", package = "secsse"). When providing a multiPhylo set of multiple phylognies, traits should be a list where each entry in the list corresponds to the matching phylogeny on that position.
num_concealed_states: number of concealed states, generally equivalent to the number of examined states in the dataset.
cond: condition on the existence of a node root: "maddison_cond", "proper_cond" (default). For details, see vignette.
root_state_weight: the method to weigh the states: "maddison_weights", "proper_weights" (default) or "equal_weights". It can also be specified for the root state: the vector c(1, 0, 0) indicates state 1 was the root state. When using a multiPhylo object, root_state_weight should be list where each entry in the list corresponds to the root_state_weight for each tree.
sampling_fraction: vector that states the sampling proportion per trait state. It must have as many elements as there are trait states. When using a multiPhylo object, sampling fraction should be list where each entry in the list corresponds to the sampling proportion for each tree.
setting_calculation: argument used internally to speed up calculation. It should be left blank (default : setting_calculation = NULL).
see_ancestral_states: Boolean for whether the ancestral states should be shown? Defaults to FALSE.
loglik_penalty: the size of the penalty for all parameters; default is 0 (no penalty).
is_complete_tree: logical specifying whether or not a tree with all its extinct species is provided. If set to TRUE, it also assumes that all all extinct lineages are present on the tree. Defaults to FALSE.
take_into_account_root_edge: if TRUE, the LL integration is continued along the root edge. This also affects conditioning (as now, conditioning no longer needs to assume a speciation event at the start of the tree)
num_threads: number of threads to be used. Default is one thread.
atol: A numeric specifying the absolute tolerance of integration.
rtol: A numeric specifying the relative tolerance of integration.
method: integration method used, available are: "odeint::runge_kutta_cash_karp54", "odeint::runge_kutta_fehlberg78", "odeint::runge_kutta_dopri5", "odeint::bulirsch_stoer" and "odeint::runge_kutta4". Default method is: "odeint::runge_kutta_cash_karp54".
display_warning: display a warning if necessary
use_normalization: normalize the density vector during integration, more accurate but slower (default = TRUE)
return_root_state: if TRUE, returns the state of the system at the root, this can be useful to use as the starting point of a simulation. When used in ML, after finishing the ML optimization, the found optimum is evaluated one more time to retrieve the root state (to avoid having to store the root state every ML evaluation).

Value

The loglikelihood of the data given the parameter.