Classification, regression, and clustering with k nearest neighbors
    algorithm. Implements several distance and similarity measures, covering
    continuous and logical features. Outputs ranked neighbors. Most features of
    this package are directly based on the PMML specification for KNN.

Provides several direct search optimization algorithms based on the
  simplex method. The provided algorithms are direct search algorithms, i.e.
  algorithms which do not use the derivative of the cost function. They are
  based on the update of a simplex. The following algorithms are available: the
  fixed shape simplex method of Spendley, Hext and Himsworth (unconstrained
  optimization with a fixed shape simplex, 1962) <doi:10.1080/00401706.1962.10490033>, 
  the variable shape simplex method of Nelder and Mead (unconstrained optimization
  with a variable shape simplex made, 1965) <doi:10.1093/comjnl/7.4.308>, and 
  Box's complex method (constrained optimization with a variable shape simplex,
  1965) <doi: 10.1093/comjnl/8.1.42>.

Provides a computational toolkit for analyzing nematode communities in ecological studies. 
    Includes methods to quantify nematode-based ecological indicators such as metabolic footprints, 
    energy flow metrics, and community structure. These tools support assessments of soil health, 
    ecosystem functioning, and trophic interactions, standardizing the use of nematodes as 
    bioindicators.

To study network evolution models and different blockmodeling approaches. Various functions enable generating (temporal) networks with a selected blockmodel type, taking into account selected local network mechanisms. The development of this package is financially supported the Slovenian Research Agency (www.arrs.gov.si) within the research program P5<96>0168 and the research project J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).

Designed to automate the calculation of Emergency Medical
    Service (EMS) quality metrics, 'nemsqar' implements measures defined
    by the National EMS Quality Alliance (NEMSQA). By providing reliable,
    evidence-based quality assessments, the package supports EMS agencies,
    healthcare providers, and researchers in evaluating and improving
    patient outcomes.  Users can find details on all approved NEMSQA
    measures at <https://www.nemsqa.org/measures>.  Full technical
    specifications, including documentation and pseudocode used to develop
    'nemsqar', are available on the NEMSQA website after creating a user
    profile at <https://www.nemsqa.org>.