llikNbinomMu: Calculate the log likelihood of the negative binomial...

In nlmixr2/rxode2: Facilities for Simulating from ODE-Based Models

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

Description

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

Usage

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

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()

Value

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

Author(s)

Matthew L. Fidler

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)

nlmixr2/rxode2 documentation built on Jan. 11, 2025, 8:48 a.m.