Provides convenience utilities for using 'DuckDB' directly over
    datasets stored in 'Azure Data Lake Storage Gen2' (ADLS Gen2,
    'abfss://'). Opens connections configured for Azure-backed 'Delta Lake'
    and 'Parquet' data, registers Azure credentials as 'DuckDB' secrets, and
    supports optional repository mirrors for restricted networks. Integrates
    well with 'DBI' for SQL workflows and with 'dplyr' and 'dbplyr' for lazy
    table queries.

An easy framework to set a quality control workflow on a dataset.
  Includes a various range of functions that allow to establish an adaptable 
  data quality control.

Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.

Tools for AI-assisted qualitative data coding using large language
    models ('LLMs') via the 'ellmer' package, supporting providers including
    'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'.
    Provides a 'codebook'-based workflow for defining coding instructions and
    applying them to texts, images, and other data. Includes built-in 'codebooks'
    for common applications such as sentiment analysis and policy coding, and
    functions for creating custom 'codebooks' for specific research questions.
    Supports systematic replication across models and settings, computing
    inter-coder reliability statistics including Krippendorff's alpha
    (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa
    (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation
    metrics including accuracy, precision, recall, and F1 scores following
    Sokolova and Lapalme (2009, <doi:10.1016/j.ipm.2009.03.002>). Provides audit
    trail functionality for documenting coding workflows following Lincoln and
    Guba's (1985, ISBN:0803924313) framework for establishing trustworthiness
    in qualitative research.