Changes in version 0.2.0 (2026-06-24)                  

                        Changes in version 0.1.0                        

  - Initial release of beautils, a package providing a collection of
    utility functions for biostatistics, agricultural trial planning,
    and experimental design.

Features

Experimental Planning & Designs

  - Added functions to generate experimental designs:
      - alpha_lattice(): Generates Alpha-Lattice designs.
      - augmented(): Generates Augmented Block designs.
      - full_factorial(): Generates Full Factorial designs.
      - latin_square(): Generates Latin Square designs.
      - split_plot(): Generates Split-Plot designs.
      - strip_plot(): Generates Strip-Plot designs.
      - unifatorial(): Generates Randomized Complete Block (RCBD) or
        Completely Randomized (CRD) designs.

Biostatistics & Summary Tools

  - Added core statistical tools:
      - hmean(): Calculates the harmonic mean.
      - gmean(): Calculates the geometric mean.
      - kurt() and skew(): Measure kurtosis and skewness.
      - ci_mean_t() and ci_mean_z(): Calculate confidence intervals
        using Student's t or standard normal distributions.
      - sem(): Computes the standard error of the mean.
      - pseudo_sigma(): Computes pseudo-sigma for robust scale
        estimation.
      - Deviation helpers: av_dev(), ave_dev(), sum_dev(), sum_sq(),
        sum_sq_dev().
  - Added by-group summary helpers: mean_by(), sd_by(), var_by(),
    sum_by(), min_by(), max_by(), n_by(), sem_by(), and cv_by().
  - Added frequency distribution tools:
      - freq_table(): Generates frequency distribution tables.
      - freq_hist(): Plots frequency histograms.

Labeling & QR Codes

  - Added labeling utility functions:
      - create_label(): Generates print-ready labels for experimental
        units.
      - labelize(): Formats variables to display nicely on labels.
      - make_qrcode(): Generates QR codes.