R/choose_uD.R
plot.choose_ud.Rd
plot
method for objects inheriting from class "choose_ud"
,
returned from choose_ud
# S3 method for choose_ud
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_ud", "exdex")
, a result of a
call to choose_ud
.
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$u
or x$D
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$u
or x$D
have length one.
A character scalar. The type of confidence interval
to be plotted, if y = "theta"
. See confint.dgaps
.
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.dgaps
.
A numeric vector with entries in (0, 1). The size of the test to be performed.
A logical scalar. The argument constrain
to
confint.dgaps
.
Only relevant when y = "imts"
and at one of
u
or D
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 = TRUE
)?
A character scalar. The position of any legend added to
a plot. Only relevant when both the arguments u
and D
in the call to choose_ud
have length greater than one.
Additional arguments passed to matplot
.
Nothing is returned.
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 \(D\)
in x$D
. 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 \(D\) 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$u
and x$D$
have length greater
than one then only these estimates are plotted. If either x$u
or x$D
have length one then approximate 100level
%
confidence intervals are added to the plot and the variable,
x$u
or x$D
that has length greater than one is plotted on
the horizontal axis.
See the examples in choose_ud
.