Calculate the likelihood for binary covariate MC trees

bp_loglike_binary_cov(
  inf_params,
  mc_samples_summary,
  return_neg = FALSE,
  multiple_outside_transmissions = FALSE,
  messages = FALSE
)

Arguments

inf_params

vector of length 2, the beta0 and beta1 coefficients

mc_samples_summary

a data frame of sampled transmission trees with the following columns, where the last one is only needed for the multiple outsider model.

return_neg

logical indicating whether to return the negative loglike. Default is FALSE

multiple_outside_transmissions

logical indicating whether to use the outsider model li kelihood or not

messages

logical indicating whether we should print messages. Default is FALSE.

Value

the estimated log average likelihood over the observed clusters