Changes in version 1.1.1 (2025-01-14)                  

Bug fixes:

  - Bug fix (#9): create_data_dictionary() now catches errors when the 
    AI model fails to produce a CSV output that will parse correctly. A
    warning 
    is issued and the function returns a data dictionary without the AI
    model. 
    Note: In testing, gpt-3.5-turbo and gpt-4 have been found to be the
    most 
    reliable models for this task.
  - Bug fix: calc_assoc_metrics() now uses {dplyr} functions to perform
    more 
    efficient calculations. Previously, the function was using base R
    functions 
    to calculate the metrics, and memory usage was high for large
    datasets.

                 Changes in version 1.1.0 (2024-12-07)                  

New features:

  - Adds curate_enntt_data() to curate the ENNTT data downloaded from 
    GitHub here.
  - Adds curate_swda_data() to curate the SWDA data downloaded from the 
    LDC here.

Bug fixes:

  - Bug fix (#7): calc_type_metrics() now correctly allows for the type 
    and document arguments to be specified as symbols that can take
    values 
    other than type and document.

Enhancements:

  - Adds vignettes for documenting data and using the publishing
    functions.
  - Removes many external dependencies from the package (glue, purrr,
    readr, 
    stringr, tibble, and tidytext) to reduce the number of dependencies
    and make
    the package more lightweight.

                 Changes in version 1.0.0 (2024-08-17)                  

  - Adds calc_assoc_metrics() to calculate association metrics between
    two 
    variables.
  - Adds calc_type_metrics() to calculate dispersion and frequency
    metrics 
    for a variable.
  - Adds create_data_dictionary() to create a data dictionary for a
    dataset.
  - Adds find_outliers() to identify observations in a data frame that
    have 
    outliers for a given variable.
  - Adds get_gutenberg_data() to download a dataset from Project
    Gutenberg.
  - Adds add_pkg_to_bib() to add a package to the bibliography.
  - Adds write_*() functions to aid in publishing results to a variety
    of 
    formats.
      - write_gg() writes a ggplot object to a file.
      - write_kbl() writes a knitr::kable object to a file.
      - write_obj() writes an R object to a file.
  - Adds find_outliers() to identify observations in a data frame that
    has 
    outliers for a given variable.

Notes: get_talkbank_data() is postponed for a future release.

                 Changes in version 0.10.0 (2024-06-24)                 

  - Initial CRAN submission.