NEWS.md

In predictNMB: Evaluate Clinical Prediction Models by Net Monetary Benefit

predictNMB 0.2.1

• 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.

predictNMB 0.2.0

• 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

predictNMB 0.1.0

• 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

predictNMB 0.0.1

• First submitted version of predictNMB to rOpenSci

• Includes functions for simulating and evaluating clinical prediction models regarding their the estimated Net Monetary Benefit (NMB)

predictNMB documentation built on June 7, 2023, 6:31 p.m.