Title: Test Suite for 'Future API' Backends
person("Henrik", "Bengtsson", role = c("aut", "cre", "cph"), email = "henrikb@braju.com"),
person(family = "The R Consortium", comment = "Project was awared an Infrastructure Steering Committee (ISC) grant in 2017", role = "fnd"))
Imports: future (>= 1.22.1), cli, crayon, prettyunits, sessioninfo
The R Consortium [fnd] (Project was awared an Infrastructure Steering

Suggests: commonmark, base64enc, utils, tools, data.table, ff

Title: Find, Characterize, and Explore Heat Waves in Climate
person("Colin", "Eason", , "aimesce@gmail.com", c("aut")),
person("Elizabeth", "Barnes", , "eabarnes@atmos.colostate.edu", c("aut"))
Description: Inputs a directory of climate projection files and, for each,
identifies and characterizes heat waves for specified study locations. The
definition used to identify heat waves can be customized. Heat wave
characterizations include several metrics of heat wave length, intensity,
and timing in the year. The heat waves that are identified can be
explored using a function to apply user-created functions across all
generated heat wave files.This work was supported in part by grants from
the National Institute of Environmental Health Sciences (R00ES022631), the
National Science Foundation (1331399), and the Colorado State University
Packaged: 2016-03-24 05:45:34 UTC; brookeanderson

Packaged: 2016-06-20 04:15:54 UTC; brookeanderson

Title: Find, Characterize, and Explore Extreme Events in Climate
Packaged: 2016-12-31 06:27:46 UTC; brookeanderson

Authors@R: person("Matthew", "Lincoln", email = "matthew.d.lincoln@gmail.com",
Description: Test function arguments with a wide array of inputs, and produce
reports summarizing messages, warnings, errors, and returned values.
Imports: assertthat, progress, purrr, tidyr

Title: Exact calculation of fuzzy decision rules for multiple testing
Description: Exact calculation of fuzzy decision rules for multiple
testing. Choose to control FDR (false discovery rate) using the
Benjamini and Hochberg method, or FWER (family wise error rate)
using the Bonferroni method. Kulinsakaya and Lewin (2007).
Packaged: Tue Oct 16 11:24:32 2007; alewin