Title: Discordance and Concordance of Transcriptomic Responses
Authors@R: c(person("Teresa", "Domaszewska", email = "domaszewska@mpiib-berlin.mpg.de", role = c("aut", "cre")),
person("January", "Weiner", email = "january.weiner@gmail.com", role = c("aut")))
Description: Concordance and discordance of homologous gene regulation allows comparing
reaction to stimuli in different organisms,
for example human patients and animal models of a disease. The package
contains functions to calculate discordance and concordance score
for homologous gene pairs, identify concordantly or
discordantly regulated transcriptional modules and visualize the results.
It is intended for analysis of transcriptional data.

Title: Functions for Discordant Kinship Modeling
Maintainer: S. Mason Garrison <s.mason.garrison@gmail.com>
Description: Functions for discordant kinship modeling (and other sibling-based quasi-experimental designs). Currently, the package contains data restructuring functions; functions for generating genetically- and environmentally-informed data for kin pairs.
Packaged: 2017-05-02 14:11:22 UTC; SMasonGarrison

Authors@R: c(person("S. Mason", "Garrison", email = "garrissm@wfu.edu",
person("Jonathan", "Trattner", email = "code@jdtrat.com",
person("Cermet", "Ream", role = c("ctb")))
Maintainer: S. Mason Garrison <garrissm@wfu.edu>
Description: Functions for discordant kinship modeling (and other sibling-based quasi-experimental designs). Currently, the package contains data restructuring functions and functions for generating biometrically informed data for kin pairs.
Imports: dplyr, purrr, magrittr, rlang, janitor, stats, broom,
Suggests: NlsyLinks, testthat, knitr, rmarkdown

person("Jonathan", "Trattner", email = "jdt@jdtrat.com",
Author: S. Mason Garrison [aut, cre, cph],

Title: Analyze Group Patterns using Graph Theory in Educational
person("Albert","Chai",   role=c("aut"), email = "albertchai@ucsd.edu"),
person("Andrew","Lee",    role="aut", email = "aleet383@ucla.edu"),
person("Joshua","Le",     role=c("aut", "cre"), email = "jpl038@ucsd.edu"),
person("Stanley","Lo",    role=c("aut"), email = "smlo@ucsd.edu"))
Description: Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
Imports: igraph, ggpubr, GGally, network, ggplot2