This creates code names that a user can consider for their organizations, their projects, themselves, people
    in their organizations or projects, or whatever else. The user can also supply a numeric seed (and even a character seed)
    for maximum reproducibility. Use is simple and the code names produced come in various types too, contingent on what the
    user may be desiring as a code name or nickname.

Computation of Multiscale Codependence Analysis and spatial eigenvector maps.

Fast categorization of items based on external code data identified by 
  regular expressions. A typical use case considers patient with medically coded 
  data, such as codes from the International Classification of Diseases ('ICD') or 
  the Anatomic Therapeutic Chemical ('ATC') classification system. 
  Functions of the package relies on a triad of objects: (1) case data with unit 
  id:s and possible dates of interest; (2) external code data for corresponding 
  units in (1) and with optional dates of interest and; (3) a classification 
  scheme ('classcodes' object) with regular expressions to identify and 
  categorize relevant codes from (2). 
  It is easy to introduce new classification schemes ('classcodes' objects) or  
  to use default schemes included in the package. Use cases includes patient 
  categorization based on 'comorbidity indices' such as 'Charlson', 'Elixhauser', 
  'RxRisk V', or the 'comorbidity-polypharmacy' score (CPS), as well as adverse 
  events after hip and knee replacement surgery.

Create an addin in 'Rstudio' to do fill-in-the-middle (FIM) and chat with latest Mistral AI models for coding, 'Codestral' and 'Codestral Mamba'. For more details about 'Mistral AI API': <https://docs.mistral.ai/getting-started/quickstart/> and <https://docs.mistral.ai/api/>. For more details about 'Codestral' model: <https://mistral.ai/news/codestral>; about 'Codestral Mamba': <https://mistral.ai/news/codestral-mamba>.

Find the location of the code for an R package based on the package's name or string representation.
    Checks on 'CRAN' based on information in the 'URL' field or 'BioConductor' and 'GitHub' based on constructing 
    a URL, and verifies all paths via testing for a successful response. This can be useful when automating static 
    code analysis based on a list of package names, and similar tasks.