llikNbinomMu function

Calculate the log likelihood of the negative binomial function (and its derivatives)

llikNbinomMu(x, size, mu, full = FALSE)

Arguments

• x: Number of successes
• size: Size of trial
• mu: mu parameter for negative binomial
• full: Add the data frame showing x, mean, sd as well as the fx and derivatives

Returns

data frame with fx for the pdf value of with dProb that has the derivatives with respect to the parameters at the observation time-point

Details

In an rxode2() model, you can use llikNbinomMu() but you have to use all arguments. You can also get the derivative of mu with llikNbinomMuDmu()

Examples

llikNbinomMu(46:54, 100, 40)

llikNbinomMu(46:54, 100, 40, TRUE)

et <- et(46:54)
et$size <- 100
et$mu <- 40

model <- function() {
  model({
    fx <- llikNbinomMu(time, size, mu)
    dProb <- llikNbinomMuDmu(time, size, mu)
  })
}

rxSolve(model, et)

Author(s)

Matthew L. Fidler