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", ...)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 vector, 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.
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.
Nothing is returned.
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.