pcint: Profile Likelihood Confidence Intervals
Description
Calculates profile likelihood confidence intervals from an
object of class "profile.evd"
.Usage
pcint(prof, which = names(prof), ci = 0.95)
Arguments
which
The original model parameters for which profile
likelihood confidence intervals are calculated.
By default intervals are calculated for all the parameters
that have been profiled in prof
.
ci
Confidence coefficient (but see Warning).
Value
- A list with one element for each parameter in
which
.
Each element is a numeric vector of length two giving the
lower and upper limits of the confidence intervals
(but see Warning).
Warning
The calculated intervals may not be confidence intervals with
(asymptotic) confidence coefficient ci
, because the
usual asymptotic properties of maximum likelihood estimators
may not hold!
The usual asymptotic properties hold when the shape parameter(s)
is(are) greater than $-0.5$, and when
the parameters are not on the edge of the parameter space
(Smith, 1985). Fortunately, this is usually the case.References
Smith, R. L. (1985)
Maximum likelihood estimation in a class of non-regular cases.
Biometrika, 72, 67--90.Examples
Run this codeuvdata <- rgev(100, loc = 0.13, scale = 1.1, shape = 0.2)
M1 <- fgev(uvdata)
M1P <- profile(M1)
pcint(M1P)
plot(M1P)
Run the code above in your browser using DataLab