Solves the Multi-Criteria Minimum Spanning Tree (mc-MST) problem
    on complete weighted graphs by combining the Non-dominated Sorting Genetic
    Algorithm II (NSGA-II) with optional Pareto local search operators.
    Chromosomes are represented as Prufer sequences so that every random
    individual decodes to a valid spanning tree (Cayley's theorem), avoiding
    repair operators. Four solver variants are provided: pure NSGA-II ("base"),
    Path Relinking ("PR"), Pareto Local Search ("PLS"), and Tabu Search ("TS").
    The package supports 2 and 3 objective formulations and provides
    convenience functions to plot Pareto fronts and best-compromise spanning
    trees. This package is the reference implementation of the method
    described in Parraga-Alava, Inostroza-Ponta and Dorn (2017)
    <doi:10.1109/CEC.2017.7969432>.

It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members.

A HTML widget rendering the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the built-in features of the 'Monaco' editor, the widget allows to prettify multiple languages, to view the 'HTML' rendering of 'Markdown' code, and to view and resize 'SVG' images.

Compose generic monadic function pipelines with %>>% and %>-%
    based on implementing the 'S7' generics fmap() and bind(). Methods are
    provided for the built-in list type and the maybe class from the
    'maybe' package. The concepts are modelled directly after the Monad
    typeclass in Haskell, but adapted for idiomatic use in R.