Package for the robust and classical versions of the inverse Gaussian distribution
Víctor Leiva <victor.leiva@uv.cl>, Hugo Hernández <hugo.hernandez@msn.com>, and Antonio Sanhueza <asanhue@ufro.cl>
A collection of utilities for robust and classical versions of the inverse Gaussian distribution known as inverse Gaussian type distribution (IGTD).
Sun Sep 30 16:08:24 2007; Hugo Hernández

Sun Apr 13 02:03:57 2008; Hugo Hernández

Package for a General Class of Inverse Gaussian Distributions
Víctor Leiva <victor.leiva@uv.cl>, Hugo Hernández <hugo.hernandez.p@gmail.com>, and Antonio Sanhueza <asanhue@ufro.cl>
A collection of utilities for a general class of inverse Gaussian models known as inverse Gaussian type distribution (IGTD).
Sun Apr 20 10:24:22 2008; Hugo Hernández

Instagram 2014 Vancouver Top Colour Dataset
person("Roland", "Tanglao", email = "roland@rolandtanglao.com",
role = c("aut", "cre"))
A dataset of the top colours of photos from Instagram
taken in 2014 in the city of Vancouver, British Columbia, Canada.
It consists of: top colour and counts data. This data was
obtained using the Instagram API. Instagram is a web photo
sharing service. It can be found at: <https://instagram.com>.
The Instagram API is documented at: <https://instagram.com/developer/>.

Guided Analytics for Testing Manufacturing Parameters
person("Stefan", "Stein", email = "s.stein@warwick.ac.uk",
role = c("aut", "cre"))
An implementation of the initial guided analytics for parameter testing and
controlband extraction framework. Functions are available for continuous and
categorical target variables as well as for generating standardized reports of the
conducted analysis. See <https://github.com/stefan-stein/igate> for more information
on the technology.
R (>= 2.10), ggplot2, dplyr, grDevices, stringr, graphics,
stats
knitr, readr, xtable, kableExtra, pander, rmarkdown

ggplot2, dplyr, grDevices, stringr, graphics, stats, knitr,
xtable, kableExtra, rmarkdown

Computational Tools for the IG and IGL Copula Families
c(
person("Vincenzo", "Coia",
role = c("aut", "cre"),
email = "vincenzo.coia@gmail.com"),
person("Harry", "Joe", role = "aut")
)
Compute distributional quantities for an
Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such
as a cdf and density. Compute corresponding conditional quantities
such as the cdf and quantiles. Generate
data from an IG or IGL copula.
testthat, knitr, rmarkdown, tibble, covr, ggplot2
Vincenzo Coia [aut, cre],
Harry Joe [aut]