Interface to the Algorithm Selection Benchmark Library
Provides an interface to the algorithm selection benchmark library
at <http://www.aslib.net> and the 'LLAMA' package
(<https://cran.r-project.org/package=llama>) for building
algorithm selection models; see Bischl et al. (2016)
<doi:10.1016/j.artint.2016.04.003>.
Bernd Bischl <bernd_bischl@gmx.net>, Lars Kotthoff <larsko@uwyo.edu>,
Pascal Kerschke <kerschke@uni-muenster.de> [ctb]
BatchExperiments, BatchJobs, BBmisc, checkmate, corrplot,
ggplot2, llama, mlr, parallelMap, ParamHelpers, plyr, reshape2,
RWeka, stringr, yaml

Bernd Bischl <bernd_bischl@gmx.net>, Lars Kotthoff <larsko@uwyo.edu>,
Pascal Kerschke <kerschke@uni-muenster.de> [ctb],
Damir Pulatov <damirpolat@protonmail.com> [ctb]
batchtools, data.table, BBmisc, checkmate, corrplot, ggplot2,
llama, mlr, parallelMap, ParamHelpers, plyr, reshape2, RWeka,
stringr, yaml

Provides an interface to the algorithm selection benchmark library
at <http://www.aslib.net> and the 'LLAMA' package
(<https://cran.r-project.org/web/packages/llama/index.html>) for building
algorithm selection models.
Bernd Bischl <bernd_bischl@gmx.net>, Lars Kotthoff <larsko@cs.ubc.ca>,
Pascal Kerschke <kerschke@uni-muenster.de> [ctb]

Animal Social Network Inference and Permutations for Ecologists
Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.

Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.

Implements several tools that are used in animal social network analysis, as described in Whitehead (2007) Analyzing Animal Societies <University of Chicago Press> and Farine & Whitehead (2015) <doi: 10.1111/1365-2656.12418>. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.