Changes in version 0.2.4.2                       

  - Fix missing rlang import declaration (@importFrom rlang .data)
    needed for the aes(.data[[]]) usage introduced in 0.2.4

                 Changes in version 0.2.4 (2025-06-24)                  

  - Minor changes to avoid issues with ggplot2 update

                 Changes in version 0.2.3 (2025-05-15)                  

  - Minor changes to stay on CRAN

                        Changes in version 0.2.2                        

  - Updates to the package documentation

                        Changes in version 0.2.1                        

  - Minor fix to the plot_power function
  - Major updates to the Shiny apps
      - Changes design input to a more friendly UI

                 Changes in version 0.2.0 (2022-05-17)                  

  - Added power_oneway_ancova & power_con_ancova to allow for a basic
    power analysis of an analysis of covariance (ANCOVA) for one-way,
    between group designs.
  - Added ANCOVA_analytic and ANCOVA_contrast which allow for power
    analyses for factorial designs and user specified contrasts.
  - Added the label_list argument to ANOVA_design and ANCOVA_analytic
    functions. Now labels can be assigned to factors and levels in a
    more sane fashion using named lists.

                 Changes in version 0.1.2 (2021-05-25)                  

  - Minor fixes to power_standardized_alpha to keep Superpower on CRAN

                 Changes in version 0.1.1 (2021-04-15)                  

  - Added morey_plot functions.
      - Plot the effect size (x-axis) at different sample sizes (facets)
        and at different alpha levels (color).
      - These plots are helpful in determining the sensitivity of
        statistical tests (t-test and F-test) across a range of effect
        sizes.
  - Added confint method for ANOVA_power produced objects
      - Calculates confidence level for binomial proportion (# of
        results that are below alpha level) confidence intervals
        (Wilson, 1927).
  - Minor changes to Shiny apps to fix glitches.

                 Changes in version 0.1.0 (2020-09-03)                  

  - Added ANOVA_exact2 function as an extension of ANOVA_exact
      - Now functional across all sample sizes but does not return a
        dataframe of afex aov object
  - liberal_lambda argument added: allows users to specify the type of
    lambda calculations
      - When liberal_lambda = TRUE; lambda = cohen_f^2 * (num_df +
        den_df + 1)
      - When liberal_lambda = FALSE; lambda = cohen_f^2 * den_df
  - Optimal alpha functions from JustifieR package added
  - ANOVA_compromise function added which allows a compromise power
    analysis to be performed for all comparisons in a design
  - ANOVA_design now returns as a class “design_aov” with specific print
    and plot methods see ?design_aov-methods
      - generate_cor_matrix function is now a non-exported function
        within the package (no longer contained within ANOVA_design)
  - All simulation functions ANOVA_power, ANOVA_exact, and ANOVA_exact2
    now returns as a class “sim_result” with specific print and plot
    methods see ?sim_result-methods
  - plot_power now has reduced sample size limitations -Option to use
    ANOVA_exact2 (exact2 argument) improves functionality (not limited
    to product of factors)
  - Updated vignettes to include updated information on functions
      - New vignette “Introduction to Justifying Alpha Levels”
  - New Shiny App: justify
      - Creates a UI for utilizing the ANOVA_compromise function via
        Shiny

                        Changes in version 0.0.5                        

  - Superpower_options(“plot”) is now set to TRUE. Plots will, by
    default, be printed -Easily reset with Superpower_options(plot =
    FALSE)
  - plot_power has new features -Plots now show desired power -min_n is
    now limited; smallest min_n allowed is equal to the product of the
    design (e.g., ’2b*2b’ has a smallest min_n of 4)
  - Small update to plot_power to fix minor error in original code
    -Error resulted in power estimates being ~0.1-0.5% off actual power
    estimate

                        Changes in version 0.0.4                        

  - Added emmeans_power function
      - Documentation added to the vignette
  - Small updates to the Shiny apps to fix typos

                 Changes in version 0.0.3 (2020-02-17)                  

  - Unequal sample size in the design is now permitted -Limited to the
    ANOVA_design and ANOVA_power functions

  - Added estimated marginal means comparisons using emmeans R package.
    
      - emm = TRUE in the ANOVA_power, ANOVA_exact, and plot_power will
        result in emmeans being calculated
      - Default is all pairwise comparisons but this can be modified
        with contrast_type and emm_comp options

  - Added global options
    
      - Options that have crossover between functions can now be set
        globally for the package
      - Includes: verbose, emm, emm_model, contrast_type, alpha_level,
        and plot
      - These global options can be seen with Superpower_options()

  - Updated Shiny Apps
    
      - Unequal n allowed for ANOVA_power
      - Added numeric input for alpha level (no longer slider)
      - Now includes emmeans options
      - kableExtra, emmeans, magrittr, and dplyr packages now needed to
        knit markdown file in app.