colorspace, rgl, hasseDiagram (>= 0.1.3), grid, mvtnorm,
gridExtra, igraph (>= 1.0.1), tictoc

colorspace, rgl, hasseDiagram (>= 0.1.3), grid, mvtnorm,
gridExtra, igraph (>= 1.0.1), tictoc, writexl

c(
person("Richèl J.C.", "Bilderbeek", email = "richel@richelbilderbeek.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1107-7049")),
person("Byungkuk", "Min", role = "ctb"))
The field of immunology benefits from software that can
predict which peptide sequences trigger an immune response.
'NetMHCIIpan' is a such a tool: it predicts the
binding strength of a short peptide to a Major Histocompatibility
Complex class II (MHC-II) molecule.
'NetMHCIIpan' can be used from a web server at
<https://services.healthtech.dtu.dk/service.php?NetMHCIIpan-3.2/>
or from the command-line, using a local installation. This package
allows to call 'NetMHCIIpan' from R.
assertive, devtools, dplyr, rappdirs, readr, seqinr, stringr,
testit, tibble
Richèl J.C. Bilderbeek [aut, cre]
(<https://orcid.org/0000-0003-1107-7049>),
Byungkuk Min [ctb]

Tools for the study of scale free and small world networks
Provides a set of functions designed to help in the study of scale free and small world networks. This functions are high level abstractions of the functions provided by the Igraph package.

person("George", "Vega Yon", email = "g.vegayon@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-3171-0844")
)
A graph visualization engine that puts an emphasis on
aesthetics at the same time of providing default parameters that yield
out-of-the-box-nice visualizations. The package is built on top of
'The Grid Graphics Package' and seamlessly work with 'igraph' and
'network' objects.
graphics, grDevices, igraph, network, sna, stats
knitr, rmarkdown, markdown, igraphdata, intergraph, ggraph,
gridGraphics, ggplot2, gridExtra, gridBase, magrittr
George Vega Yon [aut, cre] (<https://orcid.org/0000-0002-3171-0844>)

c(
person("David", "Schoch", email = "david.schoch@gess.ethz.ch", role = c("aut", "cre")),
person("Julian","Müller", email = "julian.mueller@gess.ethz.ch", role = "ctb"))
Implements methods for centrality related analyses of networks.
While the package includes the possibility to build more than 20 indices,
its main focus lies on index-free assessment of centrality via partial
rankings obtained by neighborhood-inclusion or positional dominance. These
partial rankings can be analyzed with different methods, including
probabilistic methods like computing expected node ranks and relative
rank probabilities (how likely is it that a node is more central than another?).
The methodology is described in depth in the vignettes and in
Schoch (2018) <doi:10.1016/j.socnet.2017.12.003>.
knitr, rmarkdown, magrittr, ggplot2, testthat, shiny (>=
0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5)
David Schoch [aut, cre],
Julian Müller [ctb]