plot method for class "confint".
Plots the (profile) loglikelihood for a parameter using the values
calculated by conf_intervals.
Up to 4 different types of loglikelihood (see the argument type
to the function returned by adjust_loglik)
may be superimposed on the same plot.
By default (add_lines = TRUE) the confidence limits calculated
in conf_intervals are indicated on the plot .
# S3 method for confint
plot(
x,
y = NULL,
y2 = NULL,
y3 = NULL,
which_par = x$which_pars[1],
conf = x$conf,
add_lines = TRUE,
legend = any(c(!is.null(y), !is.null(y2), !is.null(y3))),
legend_pos = "topleft",
...
)Nothing is returned.
objects of class "confint", results of calls to
conf_intervals for a common model. A (profile)
loglikelihood will be plotted for each object.
A scalar specifying the parameter for which the plot
is produced. Can be either a numeric scalar, specifying index of the
component of the full parameter vector, or a character scalar
parameter name. The former must be in x$which_pars, the latter
must be in names(x$which_pars).
A numeric vector of values in (0, 100). If
add_lines = TRUE then a horizontal line is added for each
value in conf. If conf is not supplied then the
value stored in x$conf is used.
A logical scalar. Whether or not to add horizontal lines
to the plot to identify the confidence limits. If there is only one
input "confint" object then the values of the confidence limits
will be added to the horizontal axis.
A logical scalar or a character vector. If this is
supplied then a legend is added to the plot. If legend is a
character vector then it is used as the argument legend
to legend. Otherwise, i.e. if
legend = TRUE then the component type of the input
object(s) x, y, y2, y3 are used.
The position of the legend (if required) specified using
the argument x in legend.
Additional arguments passed to matplot
or legend. The arguments col, lty
and lwd will be used (in a consistent way) by both
matplot and legend.
See the examples in conf_intervals.
adjust_loglik to adjust a user-supplied
loglikelihood function.
conf_intervals for confidence intervals for
individual parameters.
conf_region and plot.confreg to
plot a confidence region for a pair of parameters.