Skip to content

Releases: ropensci/predictNMB

predictNMB 0.2.1

03 Jun 08:03

Choose a tag to compare

  • 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

19 May 05:22

Choose a tag to compare

  • 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

12 Apr 22:25

Choose a tag to compare

  • 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