Changes in version 0.3.0.9001                      

  - New function generate_rct.bernoulli simulates an RCT with user
    defined probabilities, along with other parameters, such that it is
    compatible with single_mab_simulation() and
    multiple_mab_simulation()

                 Changes in version 0.3.0 (2025-11-03)                  

Breaking Change

  - plot.mab() for type = "assign" now displays the proportion of total
    observations assigned to each treatment for each period, instead of
    the individual probability of assignment.

New Features

  - multiple_mab_simulation() calculates the number of observations
    assigned to each treatment for each trial, and provides support for
    plotting them has been added to plot.multiple.mab() via the type =
    "hist" and quantity = "assignment" arguments.
  - summary.mab() now includes a new column with the number of
    observations assigned to each treatment.
  - summary.multiple.mab() now includes two new columns with the mean
    and standard deviation for the number of observations assigned to
    each treatment across the simulations.
  - Month-based assignment, time_unit = "month" can now be specified
    with and without an appropriate month_col, resulting in either
    time-based (no month_col) or calendar-based (provided month_col)
    assignments. See the time_unit documentation for more details.
  - plot.multiple.mab() now accepts arguments for ggplot2::facet_grid()
    for more precise customizations.

Other

  - First submission to CRAN

                        Changes in version 0.2.1                        

Bug Fixes

  - Fixed handling of numeric and factor types in condition_col of the
    data_cols argument.
  - Weighting AIPW by group size along with adaptive weights.
  - Fixed inconsistent results across with data.frames, tibbles, and
    data.tables. Running single_mab_simulation() or
    multiple_mab_simulation(), with the same seeds on the same system,
    now results in the same outcome regardless of input data class.

                        Changes in version 0.2.0                        

New Features

  - multiple_mab_simulation() supports parallel processing via future.
  - single_mab_simulation() and multiple_mab_simulation() support
    data.table for larger data sets.
  - summary(), print(), and plot() generics for mab and multiple.mab
    class objects.
  - single_mab_simulation() and multiple_mab_simulation() throw
    informative error messages, relating to argument specification, and
    data types passed.

                        Changes in version 0.1.1                        

Bug Fixes

  - Fixed AIPW calculations mistakes.
  - Fixed improper random seeding in multiple_mab_simulation().
  - Improved numerical calculation errors in Thompson sampling with
    large datasets.
  - Optimization reduced simulation runtime by up to 50%.

                        Changes in version 0.1.0                        

  - single_mab_simulation() and multiple_mab_simulation() simulate
    successfully.