Includes several classifications such as International Statistical Classification of  Diseases and Related Health Problems 10th Revision (ICD10),  Anatomical Therapeutic Chemical (ATC) Classification,  The International Classification of Diseases for Oncology (ICD-O-3), and  International Classification of Primary Care (ICPC). Includes function that adds descriptive label to code value.  Depending on classification following languages are available: English, Finnish, Swedish, and Latin.

Data analysis often requires coding, especially when data are collected through interviews, observations, or questionnaires. As a result, code counting and data preparation are essential steps in the analysis process. Analysts may need to count the codes in a text (Tokenization, counting of pre-established codes, computing the co-occurrence matrix by line) and prepare the data (e.g., min-max normalization, Z-score, robust scaling, Box-Cox transformation, and non-parametric bootstrap). For the Box-Cox transformation (Box & Cox, 1964, <https://www.jstor.org/stable/2984418>), the optimal Lambda is determined using the log-likelihood method. Non-parametric bootstrap involves randomly sampling data with replacement. Two random number generators are also integrated: a Lehmer congruential generator for uniform distribution and a Box-Muller generator for normal distribution. Package for educational purposes.

Functions for working with code lists and vectors with codes. These
    are an alternative for factor that keep track of both the codes and labels.
    Methods allow for transforming between codes and labels. Also supports
    hierarchical code lists.

Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.

The 'Codemeta' Project defines a 'JSON-LD' format
    for describing software metadata, as detailed at
    <https://codemeta.github.io>. This package provides core utilities
    to generate this metadata with a minimum of dependencies.