neg_log_like: Negative Log-Likelihood function based on R0 and R
In stephaneguerrier/CPreval: TO DO

Log-Likelihood function based on R0 and R multiplied by -1.

1	neg_log_like(pi2, R, R0, pi0, n, alpha0, alpha, beta0, beta, ...)

`pi2`	A `numeric` value for p0.
`R`	A `numeric` that provides the people of positive people in the sample.
`R0`	A `numeric` that provides the people of positive people in the sample that were known to be positive.
`n`	A `numeric` that provides the sample size.
`alpha0`	A `numeric` that provides the False Negative (FN) rate for the sample R0. Default value is `0`.
`alpha`	A `numeric` that provides the False Negative (FN) rate for the sample R. Default value is `0`.
`beta0`	A `numeric` that provides the False Positive (FP) rate for the sample R0. Default value is `0`.
`beta`	A `numeric` that provides the False Positive (FP) rate for the sample R. Default value is `0`.
`...`	Additional arguments.