person("Lillian", "Thistlethwaite", email="lillian.thistlethwaite@gmail.com", role=c("aut", "cre"))
A method for pattern discovery in weighted graphs as outlined in Thistlethwaite et al. (2021) <doi:10.1371/journal.pcbi.1008550>. Two use cases are achieved: 1) Given a weighted graph and a subset of its nodes, do the nodes show significant connectedness? 2) Given a weighted graph and two subsets of its nodes, are the subsets close neighbors or distant?

R (>= 4.0), igraph, stats, grDevices, graphics

The CTFS Large Plot Forest Dynamics Analyses
R (>= 2.0.0), graphics, stats, survival, splines

A Text Mining Toolkit for Chinese Document
The CTM package is designed to solve problems of text mining and is specific for Chinese document.

The Clinical Trials Network (CTN) of the U.S. National Institute
of Drug Abuse sponsored the CTN-0094 research team to harmonize data sets
from three nationally-representative clinical trials for opioid use disorder
(OUD). The CTN-0094 team herein provides a coded collection of trial outcomes
and endpoints used in various OUD clinical trials over the past 50 years.
These coded outcome functions are used to contrast and cluster different
clinical outcome functions based on daily or weekly patient urine screenings.
Note that we abbreviate urine drug screen as "UDS" and urine opioid screen as
"UOS". For the example data sets (based on clinical trials data harmonized by
the CTN-0094 research team), UDS and UOS are largely interchangeable.
c(
person(
given = "Gabriel", family = "Odom", email = "gabriel.odom@fiu.edu",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1341-4555")
),
person(
given = "Laura", family = "Brandt", email = "lbrandt@ccny.cuny.edu",
role = c("aut"), comment = c(ORCID = "0000-0001-7551-221X")
),
person(
given = "Raymond", family = "Balise", email = "balise@miami.edu",
role = c("aut"), comment = c(ORCID = "0000-0002-9856-5901")
),
person(
given = "Layla", family = "Bouzoubaa", email = "lab218@miami.edu",
role = c("ctb"), comment = c(ORCID = "0000-0002-6616-0950")
)
)
ape, kableExtra, knitr, readxl, rmarkdown, survival, testthat
(>= 3.0.0), tidyverse