Maintainer: Nelson Lee Afanador <nelson.afanador@gmail.com>

Imports: car, ggplot2, MASS, moments, parallel, penalized, plyr,

Title: Tidy Multiverse Analysis Made Simple
person("Michael Jongho", "Moon", email = "michael.moon@mail.utoronto.ca",
person("Haoda", "Li", email = "haoda.li@mail.utoronto.ca",
person("Mingwei", "Xu", email = "yuka.xu@mail.utoronto.ca",
person("Nathan", "Taback", email = "nathan.taback@utoronto.ca",
person("Fanny", "Chevalier", email = "fanny@cs.tornto.edu",
person("Alison", "Gibbs", email = "alison.gibbs@utoronto.ca",
Maintainer: Michael Jongho Moon <michael.moon@mail.utoronto.ca>
(Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021)
<doi:10.31219/osf.io/yfbwm>, which allows users perform to create explorable
multiverse analysis in R. This extension provides an additional level of
abstraction to the 'multiverse' package with the aim of creating
user friendly syntax to researchers, educators, and students in statistics.
The 'mverse' syntax is designed to allow piping and takes hints from
the 'tidyverse' grammar. The package allows users to define and inspect
multiverse analysis using familiar syntax in R.
Imports: magrittr (>= 1.5), rlang, dplyr, tidyr, tidyselect, stringr,
stats, broom, grDevices, igraph, ggraph, ggplot2, cowplot
Suggests: tidyverse, scales, MASS, testthat (>= 2.1.0), pkgdown (>=
1.5.1), covr, knitr, rmarkdown, kableExtra

Title: Multivariate Probabilities via the Genz and Bretz (2002)
Description: Generates multivariate student-t distributions
using the formulation in Genz and Bretz (2002) <DOI:10.1198/106186002394>
by sampling gamma variates not chi/sqrt(nu).
Packaged: 2022-03-09 01:41:17 UTC; swihartbj
Author: Bruce Swihart [aut, cre] (<https://orcid.org/0000-0002-4216-9942>)

Title: Multivariate Probabilities of Scale Mixtures of Multivariate
Normal Distributions via the Genz and Bretz (2002) QRSVN Method
c(person("Alan", "Genz", role="aut", comment=c("wrote mvtdstpack.f")),
Description: Generates multivariate subgaussian stable probabilities using the QRSVN
algorithm as detailed in Genz and Bretz (2002) <DOI:10.1198/106186002394>
but by sampling positive stable variates not chi/sqrt(nu).
Packaged: 2022-03-30 18:17:33 UTC; swihartbj
Author: Alan Genz [aut] (wrote mvtdstpack.f),
Bruce Swihart [aut, cre] (<https://orcid.org/0000-0002-4216-9942>)