dplyr, reshape2, BAMMtools, magrittr, lubridate, rlang

Animal Dominance Hierarchies by Elo Rating
Calculate Elo ratings as means to describe animal dominance hierarchies

c(
person(given="Christof",
family="Neumann",
role=c("aut", "cre"),
email="christofneumann1@gmail.com",
comment=c(ORCID="0000-0002-0236-1219")),
person(given = "Lars",
family = "Kulik",
role = c("aut"))
)
Provides functions to quantify animal dominance hierarchies. The major focus is on Elo rating and its ability to deal with temporal dynamics in dominance interaction sequences. For static data, David's score and de Vries' I&SI are also implemented. In addition, the package provides functions to assess transitivity, linearity and stability of dominance networks. See Neumann et al (2011) <doi:10.1016/j.anbehav.2011.07.016> for an introduction.
Christof Neumann [aut, cre] (<https://orcid.org/0000-0002-0236-1219>),
Lars Kulik [aut]

testthat (>= 2.1.0), knitr, aniDom, rmarkdown

Bayesian Dominance Hierarchy Steepness via Elo Rating and
David's Scores
c(
person(given="Christof",
family="Neumann",
role=c("aut", "cre"),
email="christofneumann1@gmail.com",
comment=c(ORCID="0000-0002-0236-1219"))
)
Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2022) <doi:10.1101/2022.01.28.478016>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
2.18.1), rstantools (>= 2.1.1), aniDom
rmarkdown, bookdown, xtable, knitr, testthat (>= 3.0.0)
Christof Neumann [aut, cre] (<https://orcid.org/0000-0002-0236-1219>)

Flexible implementation of Elston-Stewart algorithm

Flexible implementation of Elston-Stewart algorithm.

Fast Embedding Guided by Self-Organizing Map
c(person("Mirek", "Kratochvil",
role = c("aut", "cre"),
email = "exa.exa@gmail.com"),
person("Sofie", "Van Gassen",
role = "cph",
email = "sofie.vangassen@ugent.be"),
person("Britt", "Callebaut",
role = "cph",
email = "britt.callebaut@ugent.be"),
person("Yvan", "Saeys",
role = "cph",
email = "yvan.saeys@ugent.be"),
person("Ron", "Wehrens",
role = "cph",
email = "ron.wehrens@gmail.com"))
ggplot2, Matrix, igraph, Rtsne, umap, uwot, knitr, rmarkdown
Provides a smooth mapping of multidimensional points into
low-dimensional space defined by a self-organizing map. Designed to work
with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019)
<doi:10.1101/496869>.
Mirek Kratochvil [aut, cre],
Sofie Van Gassen [cph],
Britt Callebaut [cph],
Yvan Saeys [cph],
Ron Wehrens [cph]