eib.plot(he, comparison=NULL, pos=c(1,0), size=NULL, plot.cri = NULL, graph=c("base","ggplot2"), ...)
bcea
object containing the results of the Bayesian modelling and the economic
evaluation.
NULL
plots all the comparisons together. Any subset of the possible
comparisons can be selected (e.g., comparison=c(1,3)
or comparison=2
).
(bottom|top)(right|left)
for base graphics and bottom|top|left|right
for ggplot2. It can be a
two-elements vector, which specifies the relative position on the x and y axis
respectively, or alternatively it can be in form of a logical variable, with
FALSE
indicating to use the default position and TRUE
to place it
on the bottom of the plot. Default value is c(1,0)
, that is the bottomright
corner inside the plot area.
graph="ggplot2"
, otherwise it will be ignored with a message. If set to
NA
, the break-even point line(s) and label(s) are suppressed, with both base
graphics and ggplot2.
NULL
draws the 95% credible intervals if
only one comparison is selected, and does not include them for multiple comparisons.
Setting plot.cri=TRUE
or plot.cri=FALSE
forces the function to add
the intervals or not. The level of the intervals can be also set, see ... for more
details.
"base"
or "ggplot2"
. Default value is "base"
.
graph="ggplot2"
and a named theme object is supplied, it will be added to
the ggplot object. If plot.cri=TRUE
the level of the interval can be set using
the argument alpha
, with default at alpha=0.05
. Additionally the method
of calculation of the credible intervals can be chosen with the option
cri.quantile
: the default value TRUE
indicates that the credible intervals
are defined as the interval between the alpha/2
-th and 1-alpha/2
-th
quantiles of the IB distribution. Setting cri.quantile=FALSE
will use a
normal approximation on the IB distribution to calculate the intervals.
graph="ggplot2"
.
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London
bcea
,
ib.plot
,
ceplane.plot