llikWeibull: log likelihood and derivatives for Weibull distribution

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

log likelihood and derivatives for Weibull distribution

Description

log likelihood and derivatives for Weibull distribution

Usage

llikWeibull(x, shape, scale, full = FALSE)

Arguments

x	variable distributed by a Weibull distribution
shape, scale	shape and scale parameters, the latter defaulting to 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 llikWeibull() but you have to use the x and rate arguments. You can also get the derivative of shape or scale with llikWeibullDshape() and llikWeibullDscale().

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

llikWeibull(1, 1, 10)

# rxode2 can use this too:

et  <- et(seq(0.001, 1, length.out=10))
et$shape <- 1
et$scale <- 10
 
model <- function() {
  model({
    fx <- llikWeibull(time, shape, scale)
    dShape<- llikWeibullDshape(time, shape, scale)
    dScale <- llikWeibullDscale(time, shape, scale)
  })
}

rxSolve(model, et)

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