Changes in version 0.7.1 (2026-02-25)                  

Minor changes

  - patched bugs in estimate_ML_binary() and estimate_ML_ordinal() where
    freqs argument was not being passed to pollinate_ML()
  - patched bug in pollinate_ML_ordinal()

                 Changes in version 0.7.0 (2026-02-22)                  

Major changes

  - New functions: random_start_binary(), unique_obs_summary()
  - New accessor functions for MultiMethodMLEstimate objects:
    getNames(), getResults(), setFreqs()
  - estimate_ML_binary() and estimate_ML_ordinal() now (optionally)
    accept a summary of unique observations and their frequencies which
    can result in significantly increased calculation speeds, especially
    when bootstrapping large data sets
  - New slot added to MultiMethodMLEstimate S4 objects to support above

Minor changes

  - Automated testing added for some functions

                 Changes in version 0.6.0 (2025-06-09)                  

Major changes

  - New functions: aggregate_boot_ML(), plot.boot_ML, bin_auc

Minor changes

  - Standardized outputs from estimate_ML for data types
  - Added warnings to some functions
  - Progress bar for boot_ML
  - New color palette for graphs

                 Changes in version 0.5.1 (2024-02-20)                  

Major changes

  - CRAN resubmission.

Minor changes

  - Corrected reference format in DESCRIPTION file
  - Added description of return value to
    show-MultiMethodMLEstimate-method
  - Other minor documentation text corrections

                        Changes in version 0.5.0                        

Major changes

  - Initial CRAN submission.