traumar 1.1.0

New Features

• Added optional grouping functionality to nonlinear_bins(), rmm(), and rm_bin_summary().
  • Setting group_vars = NULL applies the functions to the entire dataset without subgrouping.
    
  • For pivoting the rmm() outputs longer, setting pivot = TRUE will work when group_vars is invoked by pivoting longer with the grouping context.

Enhancements

• Improved NA handling in rmm() and rm_bin_summary().
  
• Ensured RMM calculations remain within the expected range of [-1 to 1], including their 95% confidence intervals.
  
• Optimized nonlinear_bins() by replacing its internal for loop with dplyr functions, enhancing accuracy and efficiency without introducing breaking changes.
• Improved command line messaging and documentation within rmm() and rm_bin_summary() regarding probability of survival values Ps_col < 0 and Ps_col > 1. Now, these functions will throw an error if probability of survival values are Ps_col < 0 or Ps_col > 1.
• The nonlinear_bins() function has improved data validation for the Ps_col variable.

traumar 1.0.0

• Initial release to CRAN.
  
• Achieved comprehensive test coverage (>90%).

traumar 0.0.1.9000

• Introduced probability_of_survival() function.
  
• Expanded outputs for:
  • rmm()
    
  • rm_bin_summary()
    
  • nonlinear_bins()
    
• Updated existing tests and added new test cases.
  
• Began test coverage improvements.

traumar 0.0.1

• Introduced core package functions:
  • trauma_case_mix()
    
  • trauma_performance()
    
  • rmm()
    
  • rm_bin_summary()
    
  • nonlinear_bins()
    
  • impute()
    
  • normalize()
    
  • season()
    
  • weekend()
    
  • pretty_number()
    
  • pretty_percent()
    
  • small_count_label()
    
  • stat_sig()
    
  • theme_cleaner()
    
  • %not_in%
    
• Established package framework and initialization.