eib.plot {BCEA}  R Documentation 
Expected Incremental Benefit (EIB) plot
Description
Produces a plot of the Expected Incremental Benefit (EIB) as a function of
the willingness to pay
Usage
eib.plot(he, comparison = NULL, pos = c(1, 0), size = NULL,
plot.cri = NULL, graph = c("base", "ggplot2", "plotly"), ...)
Arguments
he 
A bcea object containing the results of the Bayesian
modelling and the economic evaluation.

comparison 
Selects the comparator, in case of more than two
interventions being analysed. Default as NULL plots all the
comparisons together. Any subset of the possible comparisons can be selected
(e.g., comparison=c(1,3) or comparison=2 ).

pos 
Parameter to set the position of the legend; for a single
comparison plot, the ICER legend position. Can be given in form of a string
(bottomtop)(rightleft) for base graphics and
bottomtopleftright for ggplot2. It can be a twoelements 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.

size 
Value (in millimetres) of the size of the willingness to pay
label. Used only if graph="ggplot2" , otherwise it will be ignored
with a message. If set to NA , the breakeven point line(s) and
label(s) are suppressed, with both base graphics and ggplot2.

plot.cri 
Logical value. Should the credible intervals be plotted
along with the expected incremental benefit? Default as 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.

graph 
A string used to select the graphical engine to use for
plotting. Should (partial)match the three options "base" ,
"ggplot2" or "plotly" . Default value is "base" .

... 
If graph="ggplot2" and a named theme object is supplied,
it will be added to the ggplot object. Additional arguments:

alpha can be used to set the CrI level when plot.cri=TRUE ,
with a default value of alpha=0.05 .

cri.quantile controls the the method of calculation of the credible
intervals. The default value cri.quantile=TRUE defines the CrI as the
interval between the alpha/2 th and 1alpha/2 th quantiles of
the IB distribution. Setting cri.quantile=FALSE will use a normal
approximation on the IB distribution to calculate the intervals.

line_colors : specifies the line colour(s)  all graph types.

line_types : specifies the line type(s) as lty numeric values  all graph types.

area_include : include area under the EIB curve  plotly only.

area_color : specifies the AUC curve  plotly only.

Value
eib 
If graph="ggplot2" a ggplot object, or if graph="plotly"
a plotly object containing the requested plot. Nothing is returned when graph="base" ,
the default.

The function produces a plot of the
Expected Incremental Benefit as a function of the discrete grid
approximation of the willingness to pay parameter. The break even point
(i.e. the point in which the EIB=0, ie when the optimal decision changes
from one intervention to another) is also showed by default. The value k* is
the discrete grid approximation of the ICER.
Author(s)
Gianluca Baio, Andrea Berardi
References
Baio, G., Dawid, A. P. (2011). Probabilistic Sensitivity
Analysis in Health Economics. Statistical Methods in Medical Research
doi:10.1177/0962280211419832.
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall,
London
See Also
bcea
, ib.plot
,
ceplane.plot
[Package
BCEA version 2.31.1
Index]