person("Fong Chun", "Chan", email = "fongchunchan@gmail.com", role = c("aut", "cre"))
utilizes ggplot2::geom_tile() to generate the matrix allowing for easy

Title: Chronological Ordering for Fossils and Environmental Events
person("J. Andres", "Christen", email = "jac@cimat.mx", role = c("ctb", "cph"), comment = c(ORCID = "0000-0002-5795-4345")))
Description: While individual calibrated radiocarbon dates can span several centuries, combining multiple dates together with any chronological constraints can make a chronology much more robust and precise. This package uses Bayesian methods to enforce the chronological ordering of radiocarbon and other dates, for example for trees with multiple radiocarbon dates spaced at exactly known intervals (e.g., 10 annual rings). For methods see Christen 2003 <doi:10.11141/ia.13.2>. Another example is sites where the relative chronological position of the dates is taken into account - the ages of dates further down a site must be older than those of dates further up (Buck, Kenworthy, Litton and Smith 1991 <doi:10.1017/S0003598X00080534>; Nicholls and Jones 2001 <doi:10.1111/1467-9876.00250>).
J. Andres Christen [ctb, cph] (<https://orcid.org/0000-0002-5795-4345>)

Title: Convolution of Gamma Distributions
person("Chaoran", "Hu", email = "chaoran.hu@uconn.edu", role = c("aut", "cre")),
person("Vladimir", "Pozdnyakov", email = "vladimir.pozdnyakov@uconn.edu", role = "ths"),
person("Jun", "Yan", email = "jun.yan@uconn.edu", role = "ths"))
Description: Convolution of gamma distributions in R. The convolution of
gamma distributions is the sum of series of gamma
distributions and all gamma distributions here can have different
parameters. This package can calculate density, distribution function
Packaged: 2017-05-24 21:50:16 UTC; ChaoranHu

Packaged: 2017-06-28 18:24:35 UTC; ChaoranHu

Packaged: 2017-07-27 18:10:22 UTC; ChaoranHu

Packaged: 2018-01-12 03:44:55 UTC; ChaoranHu

Description: Evaluation for density and distribution function of convolution of gamma
distributions in R. Two related exact methods and one approximate method are
implemented with efficient algorithm and C++ code. A quick guide for choosing
correct method and usage of this package is given in package vignette.
Packaged: 2018-05-08 19:38:27 UTC; ChaoranHu