Depends: R (>= 4.0), igraph, stats, grDevices, graphics
Packaged: 2022-04-24 19:44:02 UTC; lillianthistlethwaite

Title: The CTFS Large Plot Forest Dynamics Analyses
Description: The CTFS Large Plot Forest Dynamics Analyses
Depends: R (>= 2.0.0), graphics, stats, survival, splines
Packaged: Thu Apr 13 23:13:23 2006; phall

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

Title: CTN Outcomes, Treatments, and Endpoints
Description: 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.
given = "Gabriel", family = "Odom", email = "gabriel.odom@fiu.edu",
given = "Laura", family = "Brandt", email = "lbrandt@ccny.cuny.edu",
given = "Raymond", family = "Balise", email = "balise@miami.edu",
given = "Layla", family = "Bouzoubaa", email = "lab218@miami.edu",
Suggests: ape, kableExtra, knitr, readxl, rmarkdown, survival, testthat
Packaged: 2022-10-01 16:46:55 UTC; gabrielodom
Author: Gabriel Odom [aut, cre] (<https://orcid.org/0000-0003-1341-4555>),

Description: This is a package for constructing hypothesis trees based on the closure principle and analysing
Closed Testing Procedures (CTP) using adjusted p-values. For reference, see
Marcus, R., Peritz, E, and Gabriel, K.R. (1976) <doi:10.2307/2335748> and
person("Paul", "Jordan", email = "paul.jordan@roche.com", role = c("aut", "cre")),
person("Herpers", "Matthias", role = "aut")
Imports: dplyr, magrittr, MASS, survival, shape, Gmisc, grid