llikGeom: log likelihood and derivatives for Geom distribution

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

log likelihood and derivatives for Geom distribution

Description

log likelihood and derivatives for Geom distribution

Usage

llikGeom(x, prob, full = FALSE)

Arguments

x	variable distributed by a geom distribution
prob	probability of success in each trial. 0 < prob <= 1.
full	Add the data frame showing x, mean, sd as well as the fx and derivatives

Details

In an rxode2() model, you can use llikGeom() but you have to use the x and rate arguments. You can also get the derivative of prob with llikGeomDprob().

Value

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

Author(s)

Matthew L. Fidler

Examples

llikGeom(1:10, 0.2)

et  <- et(1:10)
et$prob <- 0.2
 
model <- function() {
  model({
    fx <- llikGeom(time, prob)
    dProb <- llikGeomDprob(time, prob)
  })
}

rxSolve(model, et)

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