Utilities to help you write 'LaTeX' in a more readable way. Instead of using plain code or a series of 'newcommand' statements, use 'R' functions. You will be able to write what you mean and make fewer mistakes.

A framework for clustering longitudinal datasets in a standardized way. 
    The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. 
    Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. 
    The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
    The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.

Back-end connections to 'LattE' (<https://www.math.ucdavis.edu/~latte>) 
	for counting lattice points and integration inside convex polytopes and 
	'4ti2' (<http://www.4ti2.de/>) for algebraic, geometric, and combinatorial 
	problems on linear spaces and front-end tools facilitating their use in the 
	'R' ecosystem.

A powerful and elegant high-level data visualization
  system inspired by Trellis graphics, with an emphasis on
  multivariate data. Lattice is sufficient for typical graphics needs,
  and is also flexible enough to handle most nonstandard requirements.
  See ?Lattice for an introduction.

Lattice-based space-filling designs with fill or separation distance properties including
  interleaved lattice-based minimax distance designs proposed in Xu He (2017)
  <doi:10.1093/biomet/asx036>, interleaved lattice-based maximin distance designs proposed
  in Xu He (2018) <doi:10.1093/biomet/asy069>, (sliced) rotated sphere packing designs 
  proposed in Xu He (2017) <doi:10.1080/01621459.2016.1222289> and Xu He (2019) 
  <doi:10.1080/00401706.2018.1458655>, and densest packing-based maximum projections 
  designs proposed in Xu He (2020) <doi:10.1093/biomet/asaa057> and Xu He (2018) 
  <arXiv:1709.02062v2>.