Suggests: callr, DBItest, dbplyr, nycflights13, testthat, withr

person("Salvatore Sanfilippo", role = "cph"),
person("Redis Labs, Inc.", role = "cph"),
person("Melissa O'Neill", role = "cph"),
person("PCG Project contributors", role = "cph"))

Suggests: arrow, callr, DBItest, dbplyr, nycflights13, testthat, withr

Suggests: arrow, callr, DBItest, dplyr, dbplyr, nycflights13, testthat,

person("Stichting DuckDB Foundation", role = "cph"),

Suggests: arrow, bit64, callr, DBItest, dplyr, dbplyr, rlang, testthat,

Title: Simple Client for the DuckDuckGo Instant Answer API
Authors@R: c(person("Schumacher", "Dirk", email = "mail@dirk-schumacher.net", role = c("aut", "cre")))
Description: Programmatic access to the DuckDuckGo Instant Answer API <https://api.duckduckgo.com/api>.
Packaged: 2017-04-07 13:48:06 UTC; dirkschumacher

Title: Displaying Changes Between Two Points Using Dumbbell Plots
Imports: dplyr,tidyr, tidyverse, ggplot2, rlang, utils, data.table,

Title: Create dummy/indicator variables flexibly and efficiently
Description: Expands factors, characters and other eligible classes

Title: Automatic Creation of Dummies with Support for Predictive
Description: Efficiently create dummies of all factors and character vectors in a data frame. Support is included for learning the categories on one data set (e.g., a training set) and deploying them on another (e.g., a test set).
Packaged: 2014-11-06 19:07:03 UTC; michelballings

Packaged: 2015-05-07 14:36:22 UTC; michelballings

Authors@R: c(person("Tyler", "Bradley", email = "tcb85@drexel.edu", role = c("aut", "cre")))
Description: Provides functions to randomly select, return, and print
quotes or entire scenes from the American version of
the show the Office. Receive laughs from one of of the
greatest sitcoms of all time on demand. Add these functions
to your  '.Rprofile' to get a good laugh everytime you start
Packaged: 2020-02-17 23:34:01 UTC; tylerbradley

Title: Dunn's test of multiple comparisons using rank sums
Description: dunn.test computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. dunn.test makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference. dunn.test accounts for tied ranks.