neg_log_lik: Negative Log-Likelihood function
In pempi: Proportion Estimation with Marginal Proxy Information

neg_log_lik

R Documentation

Negative Log-Likelihood function

Log-Likelihood function based on R1, R2, R3 and R4 multiplied by -1.

neg_log_lik(theta, Rvect, n, pi0, alpha, beta, alpha0, ...)

`theta`	A `numeric` value for the paramerer of interest.
`Rvect`	A `vector` of observations, i.e. (R1, R2, R3, R4).
`n`	A `numeric` that provides the sample size.
`pi0`	A `numeric` that provides the prevalence or proportion of people (in the whole population) who are positive, as measured through a non-random, but systematic sampling (e.g. based on medical selection).
`alpha`	A `numeric` that provides the False Negative (FN) rate for the sample R.
`beta`	A `numeric` that provides the False Positive (FP) rate for the sample R.
`alpha0`	A `numeric` that corresponds to the probability that a random participant has been incorrectly declared positive through the nontransparent procedure. In most applications, this probability is likely very close to zero.
`...`	Additional arguments.