A bootstrap method for Respondent-Driven Sampling (RDS) that relies on the underlying structure of the RDS network to estimate uncertainty.

Neighbourhood functions are key components of
  local-search algorithms such as Simulated Annealing or
  Threshold Accepting.  These functions take a solution and
  return a slightly-modified copy of it, i.e. a neighbour.
  The package provides a function neighbourfun() that
  constructs such neighbourhood functions, based on
  parameters such as admissible ranges for elements in a
  solution.  Supported are numeric and logical solutions.
  The algorithms were originally created for
  portfolio-optimisation applications, but can be used for
  other models as well.  Several recipes for neighbour
  computations are taken from "Numerical Methods and
  Optimization in Finance" by M. Gilli, D. Maringer and
  E. Schumann (2019, ISBN:978-0128150658).

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.