Skip to content

actxps v1.3.0

Compare
Choose a tag to compare
@mattheaphy mattheaphy released this 15 Sep 21:50
  • A new conf_int argument was added to exp_stats() and that creates confidence intervals around observed termination rates, credibility weighted termination rates, and any actual-to-expected ratios.

  • Similarly, conf_int was added to trx_stats() to create confidence intervals around utilization rates and any "percentage of" output columns. A conf_level argument was also added to this function.

  • autoplot.exp_df() and autoplot.trx_df() now have a conf_int_bars argument that plots confidence intervals (if available) as error bars for the selected y-variable

  • autoplot.exp_df() and autoplot.trx_df() can now create scatter plots if "points" is passed to the geoms argument.

  • The second y-axis in the autoplot() methods was updated to use an area geometry instead of bars for discrete x-axis variables. In addition, when a log-10 y-scale is used, areas will always be positive quantities. Previously, it was observed that areas were drawn as negative values for y-values on the main scale less than 1.

  • autotable.exp_df() and autotable.trx_df() were updated to format intervals.

  • exp_shiny() updates

    • The layout and theme were updated in to align with changes made in shiny 1.7.5 and bslib 0.5.1
    • The function now includes the ability to customize the Bootstrap theme
    • Plots can now be re-sized and viewed in full screen mode
    • Tables contain new customization options and can be viewed in full screen mode
    • Tables and plots can be exported
    • Both the plots and tables optionally include confidence intervals
    • Tooltips were added throughout to explain the UI
    • A play / pause button was added to suspend interactivity on demand
    • A description of filters was added to the sidebar
  • Breaking change - The confidence level argument cred_p was renamed to conf_level. This change was made because the confidence level is no longer strictly used for credibility calculations. This change impacts the functions exp_stats() and exp_shiny().