Show physics, math and engineering students how an ODE solver
    is made and how effective R classes can be for the construction of
    the equations that describe natural phenomena. Inspiration for this work 
    comes from the book on "Computer Simulations in Physics" 
    by Harvey Gould, Jan Tobochnik, and Wolfgang Christian. 
    Book link: <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.

Provides an R6 class and several utility methods to
    facilitate the implementation of models based on ordinary
    differential equations. The heart of the package is a code generator
    that creates compiled 'Fortran' (or 'R') code which can be passed to
    a numerical solver. There is direct support for solvers contained
    in packages 'deSolve' and 'rootSolve'.

Implements the robust functional analysis of variance (RoFANOVA), described in Centofanti et al. (2023) <doi:10.1093/jrsssc/qlad074>. 
    It allows testing mean differences among groups of  functional data by being robust against the presence of outliers.

Tools for grading the coding style and documentation of R
  scripts. This is the R component of Roger the Omni Grader, an
  automated grading system for computer programming projects based on
  Unix shell scripts; see <https://gitlab.com/roger-project>. The
  package also provides an R interface to the shell scripts. Inspired by
  the lintr package.

Rogue ("wildcard") taxa are leaves with uncertain phylogenetic
  position.
  Their position may vary from tree to tree under inference methods that yield a
  tree set (e.g. bootstrapping, Bayesian tree searches, maximum parsimony).
  The presence of rogue taxa in a tree set can potentially remove all
  information from a consensus tree. The information content of a consensus
  tree - a function of its resolution and branch support values - can often be
  increased by removing rogue taxa. 
  'Rogue' provides an explicitly information-theoretic approach to rogue
  detection (Smith 2022) <doi:10.1093/sysbio/syab099>,
  and an interface to 'RogueNaRok' (Aberer et al. 2013)
  <doi:10.1093/sysbio/sys078>.