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)