plot method for objects inheriting from class "choose_uk",
returned from choose_uk
# S3 method for choose_uk
plot(x, y = c("imts", "theta"), level = 0.95,
interval_type = c("norm", "lik"), conf_scale = c("theta", "log"),
alpha = 0.05, constrain = TRUE, for_abline = list(lty = 2, lwd = 1,
col = 1), digits = 3, uprob = FALSE, leg_pos = if (y == "imts")
"topright" else "topleft", ...)an object of class c("choose_uk", "exdex"), a result of a
call to choose_uk.
A character scalar indicating what should be plotted on the
vertical axes of the plot: information matrix test statistics (IMTS)
if y = "imts" and estimates of \(\theta\) if y = "theta".
If y = "theta", and either x$u or x$k have length
one, then 100level% confidence intervals are added to the plot.
A numeric scalar in (0, 1). The confidence level used in
calculating confidence intervals for \(\theta\). Only relevant if
y = "theta" and either x$u or x$k have length one.
A character scalar. The type of confidence interval
to be plotted, if y = "theta". See confint.kgaps.
A character scalar. If interval_type = "norm" then
conf_scale determines the scale on which we use approximate
large-sample normality of the estimator to estimate confidence intervals.
See confint.kgaps.
A numeric vector with entries in (0, 1). The size of the test to be performed.
A logical scalar. The argument constrain to
confint.kgaps.
Only relevant when y = "imts" and at one of
u or k is scalar. A list of graphical parameters to be
passed to abline to indicate the critical value of the
information matrix test (IMT) implied by alpha.
An integer. Used for formatting the value of the threshold
with signif before adding its value to a plot.
A logical scalar. Should we plot x$u on the
horizontal axis (uprob = FALSE) or the approximate sample quantile
to which x$u corresponds (uprob = FALSE)?
A character scalar. The position of any legend added to
a plot. Only relevant when both the arguments u and k
in the call to choose_uk have length greater than one.
Additional arguments passed to matplot.
Nothing is returned.
See the examples in choose_uk.
The type of plot produced depends mainly on y.
If y = "imts" then the values of IMTS are plotted against the
thresholds in x$u (or their corresponding approximate sample
quantile levels if uprob = TRUE) for each value of \(K\)
in x$k. Horizontal lines are added to indicate the critical
values of the IMT for the significance levels in alpha.
We would not reject at the 100alpha% level combinations of
threshold and \(K\) corresponding to values of the IMTS that fall
below the line.
If y = "theta" then estimates of \(\theta\) are plotted on the
vertical axis. If both x$u and x$k$ have length greater
than one then only these estimates are plotted. If either x$u
or x$k have length one then approximate 100level%
confidence intervals are added to the plot and the variable,
x$u or x$k that has length greater than one is plotted on
the horizontal axis.