loglike_weighted_total: Calculate the log likelihood using weighted sampling

In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland

Description

Calculate the log likelihood using weighted sampling

Usage

loglike_weighted_total(par, prev_par, freq, n_vec, x_vec, B, return_neg = TRUE)

Arguments

par	parameters to optimize over. par[1] is beta_0 and par[2] is beta_1
prev_par	parameters to form the weights. 1 is beta_0 and 2 is beta_1
freq	vector of times the cluster of size n with x positives occurred
n_vec	cluster sizes
x_vec	number of positives in each cluster
B	number of samples for each
return_neg	logical. Default is TRUE, returns the negative log likelihood

Value

log likelihood sum as a function of par

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