llikUnif function

log likelihood and derivatives for Unif distribution

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

Returns

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

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().

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)

Author(s)

Matthew L. Fidler