Description Usage Arguments Value
View source: R/likelihood-profiling.R
Return likelihood profiles for binary covariates special case
1 2 3 4 5 6 7 8 | binary_likelihood_profs(
best_pars,
max_loglike,
obs_data_summary,
mc_samples_summary,
alpha = 0.05,
multiple_outside_transmissions = FALSE
)
|
best_pars |
vector of MLE |
max_loglike |
loglike value from MLE |
obs_data_summary |
actual data summary with cluster_size, x_pos, and x_neg and frequency of each |
mc_samples_summary |
tree summaries, output from |
alpha |
alpha-value to make a (1-alpha)% CI |
multiple_outside_transmissions |
logical indicating to use base model or multiple outside transmissions model. |
matrix of dimension (length of best_pars) x 3 where the columns are the best parameter estimate,
the lower CI (lower
) and upper CI (upper
)
@export
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