htmlwidgets (>= 1.0), htmltools, httr, jsonlite, stats
shiny (>= 1.1.0), canvasXpress.data, dplyr, glue, grid,
knitr, png, readr, rmarkdown, testthat, tibble, tidyr, limma

shiny (>= 1.1.0), canvasXpress.data, dplyr, glue, grid,
knitr, png, readr, rlang, rmarkdown, stringr, testthat, tibble,
tidyr, limma, ggplot2

Contains the prepared data that is needed for the 'shiny' application examples in the
'canvasXpress' package.  This package also includes datasets used for automated 'testthat' tests.
Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>.
Davis S, Meltzer PS (2007) <doi:10.1093/bioinformatics/btm254>.
c(
person("Isaac", "Neuhaus", email = "imnphd@gmail.com", role = c("aut")),
person("Connie", "Brett", email = "connie@aggregate-genius.com", role = c("aut", "cre")),
person("Ger", "Inberg", email = "ginberg@gmail.com", role = c("aut")))
Isaac Neuhaus [aut],
Connie Brett [aut, cre],
Ger Inberg [aut]

Covariate Assisted Principal (CAP) Regression for Covariance
Matrix Outcomes
Yi Zhao <zhaoyi1026@gmail.com>,
Bingkai Wang <bwang51@jhmi.edu>,
Stewart Mostofsky <mostofsky@kennedykrieger.org>,
Brian Caffo <bcaffo@gmail.com>,
Xi Luo <xi.rossi.luo@gmail.com>
Performs Covariate Assisted Principal (CAP) Regression for covariance matrix outcomes. The method identifies the optimal projection direction which maximizes the log-likelihood function of the log-linear heteroscedastic regression model in the projection space. See Zhao et al. (2018), Covariate Assisted Principal Regression for Covariance Matrix Outcomes, <doi:10.1101/425033> for details.

Combined analysis of pleiotropy and epistasis
Anna L. Tyler, Wei Lu, Justin J. Hendrick, Vivek M. Philip, and
Greg W. Carter
This package combines complementary information across
multiple related phenotypes to infer directed epistatic
interactions between genetic markers. The analysis in this
package can be applied to a variety of engineered and natural
populations.
R (>= 2.15.2), corpcor, evd, qpcR, Matrix

R (>= 2.15.2), corpcor, evd, qpcR, Matrix, igraph, fdrtool