llikUnif: log likelihood and derivatives for Unif distribution

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

log likelihood and derivatives for Unif distribution

Description

log likelihood and derivatives for Unif distribution

Usage

llikUnif(x, alpha, beta, full = FALSE)

Arguments

x	variable distributed by a uniform distribution
alpha	is the lower limit of the uniform distribution
beta	is the upper limit of the distribution
full	Add the data frame showing x, mean, sd as well as the fx and derivatives

Details

In an rxode2() model, you can use llikUnif() but you have to use the x and rate arguments. You can also get the derivative of alpha or beta with llikUnifDalpha() and llikUnifDbeta().

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

llikUnif(1, -2, 2)

et  <- et(seq(1,1, length.out=4))
et$alpha <- -2
et$beta <- 2
 
model <- function() {
  model({
    fx <- llikUnif(time, alpha, beta)
    dAlpha<- llikUnifDalpha(time, alpha, beta)
    dBeta <- llikUnifDbeta(time, alpha, beta)
  })
}

rxSolve(model, et)

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