Description Usage Arguments Details Value
View source: R/likelihood-profiling.R
Wrapper to optimize over a single variable for likelihood profiling
1 2 3 4 5 6 7 8 9 10 | binary_loglike_wrapper(
x,
max_loglike,
best_pars,
obs_data_summary,
mc_samples_summary,
alpha = 0.05,
beta_index = 1,
multiple_outside_transmissions = FALSE
)
|
x |
parameter to optimize over |
max_loglike |
maximum loglike value from output |
best_pars |
vector of best parameters |
obs_data_summary |
actual data summary with cluster_size, x_pos, and x_neg and frequency of each |
mc_samples_summary |
output of |
alpha |
α-value for computing confidence intervals. |
beta_index |
which parameter to optimize over. |
multiple_outside_transmissions |
whether to use base model or not |
internal function only
zeros of likelihood profiling for given alpha
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