ce_plot()
add wtp_linetype argument to ce_plot()
(and default to "dashed") to given control to user and
differentiate C-E plane from main axes.
add shape argument which maps to the shape aesthetic
in geom_point(). User can also specify
shape = "cost-effective" to map it to whether that point is
under the WTP/cost-effectiveness plane, or shape = "method"
to map it to the cutpoint method.
add add_prop_ce argument. If TRUE, the
% of points for that cutpoint method is concatenated to the the method
name in the figure legend.
outcome costs were incorrectly excluded from the costs used in
the incremental cost axis before. These are now added to the
calculations in evaluate_cutpoint_cost() and reflected in
the ce_plot(). Before, the incremental costs in
ce_plot() were treatment costs alone.
Track QALYs and intervention costs
Track QALYs and intervention costs separately from NMB within simulations
get_nmb_sampler() now returns a
NMBsampler object with attributes to indicate whether QALYs
should be tracked during simulations and the WTP used
If QALYs are tracked, ce_plot() can be used to
create a cost-effectiveness plot
Updates to README, vignettes and documentation for clarity
Many updates in response to peer review with ropensci see #566 (response comment)
Efficiency improvements and generally improved coding style
Use of autoplot() method instead of
plot()
Use of summary() method instead of
make_summary_table()
Removal of default themes in plots in exchange for
... + theme_sim()
Improvements and corrections to vignettes
First submitted version of predictNMB to rOpenSci
Includes functions for simulating and evaluating clinical prediction models regarding their the estimated Net Monetary Benefit (NMB)