This package contains functions to carry out high
throughput data analysis and to conduct data set comparisons.
Similarity matrices from high throughput phenotypic data
containing uninformative (e.g. wild type) or missing data can
be calculated to report similarity of response.  A suite of
graph comparisons using an adjacency or correlation matrix
format are included to facilitate quick network analysis.

Inference of Causal Links Between a Network and an External
Variable
c(
person("Luke", "Johnston", , "lwjohnst@gmail.com", role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0003-4169-2616")),
person("Clemens", "Wittenbecher", , "Clemens.Wittenbecher@dife.de", role = "aut",
comment = c(ORCID = "0000-0001-7792-877X")),
person("Fabian", "Eichelmann", , "Fabian.Eichelmann@dife.de", role = "ctb"),
person("Helena", "Zacharias", , "helena.zacharias@helmholtz-muenchen.de", role = "ctb"),
person("Daniel", "Ibsen", , "dbi@ph.au.dk", role = "ctb",
comment = c(ORCID = "0000-0002-7038-4770"))
)
The 'NetCoupler' algorithm identifies potential direct effects of
correlated, high-dimensional variables formed as a network with an external
variable. The external variable may act as the dependent/response variable
or as an independent/predictor variable to the network.
checkmate, dplyr, ids, igraph, lifecycle, magrittr, pcalg,
ppcor, purrr, rlang (>= 0.4.6), stats, tibble, tidyselect,
utils, tidygraph
broom, furrr, knitr, rmarkdown, spelling, testthat (>= 2.1.0)
Luke Johnston [aut, cre, cph] (<https://orcid.org/0000-0003-4169-2616>),
Clemens Wittenbecher [aut] (<https://orcid.org/0000-0001-7792-877X>),
Fabian Eichelmann [ctb],
Helena Zacharias [ctb],
Daniel Ibsen [ctb] (<https://orcid.org/0000-0002-7038-4770>)

Network-Based Discriminant Analysis Subject to Multi-Label
Classes
Implementation of discriminant analysis with network structures in predictors accommodated to do classification and prediction.

Mike Nowak <michael.nowak@gmail.com>, Sean J Westwood
<seanjw@stanford.edu>, Solomon Messing
<solomon.messing@gmail.com>, and Dan McFarland
<dmcfarla@stanford.edu>
This package contains all data needed for Dan McFarland's
SNA R labs.