loglike_cluster_summary: Calculate the log likelihood for data

In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland

Description

Calculate the log likelihood for data

Usage

loglike_cluster_summary(
  par,
  cluster_summary,
  sampled_trees,
  return_neg = FALSE,
  n_trials = 10
)

Arguments

par	vector of parameters "beta_0" and "beta_1"
cluster_summary	output from summarize_clusters()
sampled_trees	draws from simulate_many_cond_bp
return_neg	If TRUE, return the negative log like.
n_trials	number of trials for each "average"

Value

likelihood summing over the 'average' of cluster with given n and n_pos (single number), weighted by the data

skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.