William H. Asquith [aut, cre], John F. England [aut, ctb], George R. Herrmann [ctb]
Compute the multiple Grubbs-Beck low-outlier test on positively distributed
data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow
data processing discussed in Cohn et al. (2013) <doi:10.1002/wrcr.20392> and
England et al. (2017) <doi:10.3133/tm4B5>.
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits

c(
person("Héctor Manuel", "Sánchez Castellanos", email = "sanchez.hmsc@berkeley.edu", role = c("aut","cre")),
person("Jared", "Bennett", email = "jared_bennett@berkeley.edu ", role = "aut"),
person("Sean", "Wu", email = "slwu89@berkeley.edu", role = "aut"),
person("John M.", "Marshall", email = "john.marshall@berkeley.edu", role = "aut")
)
Héctor Manuel Sánchez Castellanos <sanchez.hmsc@berkeley.edu>
Provides a model designed to be a reliable testbed where various gene
drive interventions for mosquito-borne diseases control. It is being developed to
accommodate the use of various mosquito-specific gene drive systems within a
population dynamics framework that allows migration of individuals between patches
in landscape. Previous work developing the population dynamics can be found in Deredec et al.
(2001) <doi:10.1073/pnas.1110717108> and Hancock & Godfray (2007) <doi:10.1186/1475-2875-6-98>,
and extensions to accommodate basic CRISPR homing dynamics in Marshall et al. (2017)
<doi:10.1038/s41598-017-02744-7>.
R6, Rcpp, Rdpack (>= 0.7), grDevices, graphics, stats, utils
Héctor Manuel Sánchez Castellanos [aut, cre],
Jared Bennett [aut],
Sean Wu [aut],
John M. Marshall [aut]

R6, Rcpp, Rdpack (>= 0.7), grDevices, graphics, stats, utils,
data.table

Provides a model designed to be a reliable testbed where various gene
drive interventions for mosquito-borne diseases control. It is being developed to
accommodate the use of various mosquito-specific gene drive systems within a
population dynamics framework that allows migration of individuals between patches
in landscape. Previous work developing the population dynamics can be found in Deredec et al.
(2001) <doi:10.1073/pnas.1110717108> and Hancock & Godfray (2007) <doi:10.1186/1475-2875-6-98>,
and extensions to accommodate CRISPR homing dynamics in Marshall et al. (2017)
<doi:10.1038/s41598-017-02744-7>.