Title: Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test
Maintainer: Stefano Maria Pagnotta <pagnotta@unisannio.it>
Description: Friendly implementation of the Mann-Whitney-Wilcoxon test for competitive gene set enrichment analysis.
Author: Stefano Maria Pagnotta [aut, cre, cph]

Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps.  Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
Imports: Rcpp (>= 0.11.5), RANN, corrplot, xtable, repmis

role = c("aut"), email = "contact.dtb@gmail.com"),
role = "aut", email = "keegan@mcs.anl.gov"),
role = c("cre", "ctb"), email = "trimble@anl.gov"),
person (c("University", "of"), "Chicago", role = "cph"))
Depends: R (>= 2.10), MGRASTer, BIOM.utils, graphics, stats, utils
Suggests: RJSONIO, qvalue, ecodist, gplots, scatterplot3d
Description: An analysis platform for metagenomics combining
specialized tools and workflows, easy handling of the BIOM
format, and transparent access to MG-RAST resources.  Integrates
easily with other R packages and non-R software.
Collate: utils.R biom-ext.R client.R graphics.R analysis-support.R
analysis-misc.R distx.R rowstats.R transform.R boxplot.R
Maintainer: William L. Trimble <trimble@anl.gov>

Title: Metagenomics Analysis Tools for R
Authors@R: c (person ("Daniel", "Braithwaite", role = c ("aut", "cre"),
email = "contact.dtb@gmail.com"), person ("Kevin", "Keegan", role = "aut",
email = "keegan@mcs.anl.gov"), person (c ("University", "of"), "Chicago",
format, and transparent access to MG-RAST resources.  matR integrates

person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5215-0316")),
person("Lucy", "D'Agostino McGowan", email = "lucydagostino@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-7297-9359")),
person("Jeff", "Leek", email = "jtleek@gmail.com", role = "ldr", comment = c(ORCID = "0000-0002-2873-2671"))
Description: Conveniently log everything you type into the R console. Logs are
are stored as tidy data frames which can then be analyzed using 'tidyverse'
Imports: rstudioapi, tibble, readr, jsonlite, clipr, purrr, rlang
Author: Sean Kross [aut, cre] (<https://orcid.org/0000-0001-5215-0316>),
Lucy D'Agostino McGowan [aut] (<https://orcid.org/0000-0001-7297-9359>),