"returnLevel"R/fliteReturnLevelMethods.R
returnLevelMethods.RdMethods for objects of class "returnLevel" returned from
returnLevel.
an object of class c("returnLevel", "lite"), a result
of a call to returnLevel, using prof = TRUE.
A numeric scalar in (0, 1). The confidence level required for
the confidence interval for the m-year return level.
If level is not supplied then x$level is used.
level must be no larger than x$level.
A logical scalar. Should we add a legend (in the top right
of the plot) that gives the approximate values of the MLE and
100level% confidence limits?
For plot.returnLevel: an integer. Passed to
signif to round the values in the legend.
For print.returnLevel: the argument digits to
print.default.
For summary.returnLevel: an integer. For number formatting
with signif. If digits is not specified
(i.e. missing) then signif() will not be called
(i.e. no rounding will be performed).
A logical scalar. If TRUE then the plot is produced.
Otherwise, it is not, but the MLE and confidence limits are returned.
For plot.returnLevel: arguments passed to
plot, such as graphical parameters.
For print.summary.returnLevel: arguments passed to
print.default.
an object of class c("returnLevel", "lite"), a result
of a call to returnLevel, using prof = TRUE.
plot.returnLevel: a numeric vector of length 3 containing the
lower 100level% confidence limit, the MLE and the upper
100level% confidence limit is returned invisibly.
print.returnLevel: the argument x is returned, invisibly.
summary.returnLevel: a list containing the list element
object$call and a matrix matrix containing the MLE
and estimated SE of the return level.
print.summary.returnLevel: the argument x is returned,
invisibly.
plot.returnLevel plots the profile log-likelihood for a
return level, provided that x returned by a call to
returnLevel using prof = TRUE. Horizontal lines
indicate the values of the maximised log-likelihood and the critical level
used to calculate the confidence limits.
If level is smaller than x$level then approximate
100level% confidence limits are recalculated based on the
information contained in x$for_plot.
print.returnLevel prints the call to
returnLevel and the estimates and 100x$level%
confidence limits for the x$m-year return level.
See returnLevel.
returnLevel to perform frequentist threshold-based
inference for return levels.