Advanced forecasting algorithms for long-term energy demand at the 
  national or regional level. The methodology is based on Grandón et al. (2024) 
  <doi:10.1016/j.apenergy.2023.122249>; Zimmermann & Ziel (2024) 
  <doi:10.1016/j.apenergy.2025.125444>. Real-time data, including power demand, weather conditions, and macroeconomic indicators, are provided through automated API integration with various institutions. The modular approach maintains transparency on the various model selection processes and encompasses the ability to be adapted to individual needs. 'oRaklE' tries to help facilitating robust decision-making in energy management and planning.

Provides details such as Morphine Equivalent Dose (MED), 
    brand name and opioid content which are calculated of all oral opioids 
    authorized for sale by Health Canada and the FDA based on their Drug Identification Number (DIN) or National Drug Code (NDC). 
    MEDs are calculated based on recommendations by Canadian Institute for Health Information (CIHI) and Von Korff et al (2008)
    and information obtained from Health Canada's Drug Product Database's monthly data dump or FDA Daily database for Canadian and US databases respectively. 
    Please note in no way should output from this package be a substitute for medical advise.  
    All medications should only be consumed on prescription from a licensed healthcare provider.

Provides functions to analyze and visualize meristic and mensural
    phenotypic data in a comparative framework. The package implements an
    automated pipeline that summarizes traits, identifies diagnostic variables
    among groups, performs multivariate and univariate statistical analyses, and
    produces publication-ready graphics. An earlier implementation (v1.0.0) is
    described in Torres (2025) <doi:10.64898/2025.12.18.695244>.

Turn 'tidymodels' workflows into objects containing the
    sufficient sequential equations to perform predictions. These smaller
    objects allow for low dependency prediction locally or directly in
    databases.