Author: Anne-Lise Caillat [ctb], Christophe Dutang [aut,cre], Veronique Larrieu [ctb] and Triet Nguyen [ctb]
Description: Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).

Title: Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit
Authors@R: c(person("Martyn", "Clark", role = c("aut")),
person("Kevin", "Shook", role = c("aut", "trl", "cre"),
Description: Uses jackknife and bootstrap methods to quantify the sampling uncertainty in goodness-of-fit statistics. Full details are in Clark et al. (2021), "The abuse of popular performance metrics in hydrologic modeling", Water Resources Research, <doi:10.1029/2020WR029001>.
Imports: stats, dplyr, hydroGOF, ggplot2, lubridate, stringr, ncdf4,

Authors@R: person("Chris", "Muir", role = c("aut", "cre"), email = "cdmuir@hawaii.edu", comment = c(ORCID = "0000-0003-2555-3878"))
Description: For plant physiologists, converts conductance (e.g. stomatal conductance) to different units: m/s, mol/m^2/s, and umol/m^2/s/Pa.
Author: Chris Muir [aut, cre] (<https://orcid.org/0000-0003-2555-3878>)

Imports: magrittr (>= 1.5), methods (>= 4.0.0), stringr (>= 1.4.0),

Title: Statistical Analysis of Monthly Background Checks of Gun
Author: Gregor Aisch, Josh Keller and Dirk Eddelbuettel
Description: Statistical analysis of monthly background checks of gun purchases for the New York Times
story "What Drives Gun Sales: Terrorism, Obama and Calls for Restrictions" at
Imports: readr, dplyr, stringr, seasonal, ggplot2, data.table, zoo

Imports: readr, dplyr, stringr, seasonal, ggplot2, data.table, zoo,

Imports: utils, dplyr, seasonal, ggplot2, data.table, zoo, x13binary

Title: A User-Oriented Statistical Toolkit for Analytical Variance
Authors@R: person("Martin", "Chevalier", role = c("aut", "cre", "cph"), email = "martin.chevalier@insee.fr")
Author: Martin Chevalier [aut, cre, cph]
Provides a toolkit for analytical variance estimation in survey sampling. Apart from
the implementation of standard variance estimators, its main feature is to help the
sampling expert produce easy-to-use variance estimation "wrappers", where systematic
operations (linearization, domain estimation) are handled in a consistent and transparent