llikUnif {rxode2} | R Documentation |
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)
[Package rxode2 version 2.1.3 Index]