BayesianReasoning 0.4.1

Minor updates

• safely_show_image_Rmd() function to fail gracefully when URL not found in Rmd’s
• Add and fix checks in process_variables()
• Add tests to cover corner cases and new checks

BayesianReasoning 0.4.0

Major updates

• Refactored the way we calculate PPV and NPV
• Added new parameter to control type of y scale (one_out_of) # 33
• Added new parameter to control x axis (limits_Sensitivity and limits_Specificity)
• Added multiple checks to catch corner conditions
• Renamed lots of parameters to make things more coherent

Minor updates

• Avoid acronyms
• Add bold label to area overlay
• Get rid of extra character in legend
• Translate all elements in area overlay
• Changed palette for NPV plots
• Add tests for new parameters and checks
• Add extra info in area overlay

BayesianReasoning 0.3.3

Minor update

• x axis labels should always be equally spaced #37
• Update tests to work with upcoming ggplot2 #42
• Add default parameters to avoid errors #43
• Fix LazyData NOTE

BayesianReasoning 0.3.2

Clean up old comments, add more tests…

• 100% code coverage
• min_possible_prevalence() is now much more efficient
• Improvements to overlay = “line” en PPV_heatmap(), now using {ggforce} for labels
• Changed color palette for NPV
• Tweaked color palette for PPV

BayesianReasoning 0.3.1

Corrected issues raised in CRAN revision

• Reduced title to less than 65 characters
• Do not capitalize things in the Description text
• Added references to Description explaining main concepts
• Replaced cat() with message()
• Added folder parameter to PPV_diagnostic_vs_screening() and PPV_heatmap() functions

Added tests

• Added tests for all main functions
• Added codecov

BayesianReasoning 0.3.0

Global clean-up

• No more global environment vars
• PPV and NPV working
• Passes all CRAN checks

BayesianReasoning 0.2.0

Some improvements to stability

• Overlay works better
• Shiny app working

BayesianReasoning 0.1.0

Initial release, includes 3 functions:

• PPV_heatmap.R: Plot PPV heatmaps
  
• PPV_diagnostic_vs_screening.R: Plot PPV for a diagnostic and a screening group
  
• min_possible_prevalence.R: Show minimum possible prevalence given the test characteristics