c(person(given="David", family="Zamar", role = c("aut", "cre"), email = "zamar.david@gmail.com"),
person(given="Jinko", family="Graham", role = "aut"),
person(given="Brad", family="McNeney", role = "aut"))
David Zamar [aut, cre],
Jinko Graham [aut],
Brad McNeney [aut]

Entropy-Based Local Indicator of Spatial Association
A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) <doi:10.1016/j.spasta.2018.10.001>.
c(
person("Babak", "Naimi", role = c("cre", "aut"),
email = "naimi.b@gmail.com",
comment = c(ORCID = "0000-0001-5431-2729")),
person("Roger", "Bivand", role = "ctb", comment="part of the dnn C code, from the spdep package"),
person("William", "Venables", role = "ctb", comment="part of the dnn C code, taken from the spdep package"),
person("Brian", "Ripley", role = "ctb", comment="part of the dnn C code, taken from the spdep package")
)
Babak Naimi [cre, aut] (<https://orcid.org/0000-0001-5431-2729>),
Roger Bivand [ctb] (part of the dnn C code, from the spdep package),
William Venables [ctb] (part of the dnn C code, taken from the spdep
package),
Brian Ripley [ctb] (part of the dnn C code, taken from the spdep
package)

Utilise Catastrophe Model Event Loss Table Outputs
person(given = "Randhir",
family = "Bilkhu",
role = c("aut", "cre"),
email = "rbilkhu7@gmail.com")
Provides a tool to run Monte Carlo simulation of catastrophe model event loss tables, using a Poisson frequency and Beta severity distribution.

A package for computing reading time measures for
psycholinguistics.
Pavel Logacev <pavel.logacev@gmail.com>, Shravan Vasishth <vasishth@acm.org>
em2 provides easy-to-use and fast functions for computing reading time measures used in psycholinguistic research based on eye tracking data.