Wrapper to optimize over a single variable for likelihood profiling

Source: R/likelihood-profiling.R

Wrapper to optimize over a single variable for likelihood profiling

loglike_wrapper(
  x,
  max_loglike,
  best_pars,
  mc_trees,
  covariate_names,
  alpha = 0.05,
  beta_index = 1,
  multiple_outside_transmissions = FALSE
)

Arguments

x

parameter to optimize over
max_loglike

maximum loglike value from output
best_pars

vector of best parameters
mc_trees

output of sample_mc_trees
covariate_names

covariate names to look over
alpha

\(\alpha\)-value for computing confidence intervals.
beta_index

which parameter to optimize over.
multiple_outside_transmissions

whether to use base model or not

Value

zeros of likelihood profiling for given \(alpha\)

Details

internal function only. This is for the general case