Suggests: testthat, covr, knitr, ggetho, zeitgebr

Description: Loads behavioural data from the widely used Drosophila Activity Monitor System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics framework.

Title: Dams in the United States from the National Inventory of Dams
Description: The single largest source of dams in the United States is the
National Inventory of Dams (NID, http://nid.usace.army.mil) from the US
Army Corps of Engineers. Entire data from the NID cannot be obtained all at
once and NID's website limits extraction of more than a couple of thousand
records at a time. Moreover, selected data from the NID's user interface
cannot not be saved to a file. In order to make the analysis of this data
easier, all the data from NID was extracted manually. Subsequently, the raw
data was checked for potential errors and cleaned. This package provides
sample cleaned data from the NID and provides functionality to access the

National Inventory of Dams (NID) <http://nid.usace.army.mil> from the US
person("Gopi", "Goteti", role = c("aut")),
person("Joseph", "Stachelek", role = c("aut", "cre"), email = "stachel2@msu.edu")
Suggests: ggplot2, maps, mapproj, testthat, knitr, rmarkdown

Author: Dirk Eddelbuettel with contributions by Brodie Gaslam, Kevin Denny,
Description: A collection of utility functions.
Suggests: anytime, data.table, zoo, xts, TTR, quantmod

Kabira Namit, Colin Gillespie, R Core, and others.
Suggests: anytime, data.table, zoo, xts, TTR, quantmod, rtweet

Kabira Namit, Colin Gillespie, R Core, Josh Ulrich, and others.

Kabira Namit, Colin Gillespie, R Core, Josh Ulrich, Jordan Mark Barbone,

Title: Design and Analysis of Non-Inferiority Trials
Description: Provides tools to help the design and analysis of resilient non-inferiority trials. These include functions for sample size
calculations and analyses of trials, with either a risk difference, risk ratio or arc-sine difference margin, and a function to run simulations to
design a trial with the methods described in Quartagno et al. (2019) <arXiv:1905.00241>.