Defines the classes used to explore, cluster and
  visualize distance matrices, especially those arising from binary
  data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.

Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.

Package to carry out merged block randomization (Van der Pas (2019), <doi:10.1177/1740774519827957>), a restricted randomization method designed for small clinical trials (at most 100 subjects) or trials with small strata, for example in multicentre trials. It can be used for more than two groups or unequal randomization ratios.

Provides tools to simulate, analyse, visualise, and benchmark
    grid-based number merge puzzles. The package implements generic grid
    mechanics, tile-spawning rules, merge rules, scoring functions,
    reproducible simulation utilities, and local 'Shiny' and 'WebGL' interfaces for
    interactive use. It is intended for teaching, algorithmic experimentation,
    and game-theoretic examples. The autoplay helpers use standard heuristic
    search and Monte Carlo simulation ideas described in Russell and Norvig
    (2021, ISBN:9780134610993) and Robert and Casella
    (2004, ISBN:9780387212395).

Fast clustering of large datasets by hierarchically merging
    components of a K-means solution based on the pairwise overlap between
    the Gaussian mixture components implied by the K-means partition, as
    proposed by Melnykov and Michael (2020) <doi:10.1007/s00357-019-09314-8>.
    Implements the DEMP-K merging algorithm with single, Ward's, average,
    and complete linkages, the overlap map display for selecting the number
    of clusters, four K-means variants corresponding to Gaussian mixtures
    with spherical or elliptical, homoscedastic or heteroscedastic
    components, and a tool for selecting the number of K-means components.