Provides Python-based extensions to enhance data analytics workflows, 
  particularly for tasks involving data preprocessing and predictive modeling. 
  Includes tools for data sampling, transformation, feature selection, 
  balancing strategies (e.g., SMOTE), and model construction. 
  These capabilities leverage Python libraries via the reticulate interface, 
  enabling seamless integration with a broader machine learning ecosystem. 
  Supports instance selection and hybrid workflows that combine R and Python 
  functionalities for flexible and reproducible analytical pipelines. 
  The architecture is inspired by the Experiment Lines approach, which promotes 
  modularity, extensibility, and interoperability across tools. 
  More information on Experiment Lines is available in 
  Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

The DALY Calculator is a free, open-source Graphical User
             Interface (GUI) for stochastic disability-adjusted life year
             (DALY) calculation.

A collection of functions which aim to assist common computational workflow for analysis of matabolomic data..

Detects and filters damaged cells in single-cell RNA sequencing
    (scRNA-seq) data using a novel approach inspired by 'DoubletFinder'. Damage
    is detected by measuring the extent to which cells deviate from
    artificially damaged profiles of themselves, simulated through the
    probabilistic escape of cytoplasmic RNA. As output, a damage score
    ranging from 0 to 1 is given for each cell providing an intuitive scale for 
    filtering that is standardised across cell types, samples, and experiments.

Define a spatial 'Area of Interest' (AOI) around a constructed dam using hydrology data.
  Dams have environmental and social impacts, both positive and negative.
  Current analyses of dams have no consistent way to specify at what spatial extent we should evaluate these impacts.
  'damAOI' implements methods to adjust reservoir polygons to match satellite-observed surface water areas, plot upstream and downstream rivers using elevation data and accumulated river flow, and draw buffers clipped by river basins around reservoirs and relevant rivers. 
  This helps to consistently determine the areas which could be impacted by dam construction, facilitating comparative analysis and informed infrastructure investments.