person("Luis", "E. Garrido", email = "garrido.luiseduardo@gmail.com", role = "ctb", comment = c(ORCID = "0000-0001-8932-6063")),
person("Laura", "Jamison", email = "lj5yn@virginia.edu", role = "ctb"))
network (>= 1.16.0), GGally (>= 2.0.0), methods, fitdistrplus,
ggpubr, ggplot2, pbapply, matrixcalc (>= 1.0-3), OpenMx
Suggests: psych, psychTools, GPArotation, sna, markdown, knitr,

person("Laura", "Jamison", email = "lj5yn@virginia.edu", role = "ctb", comment = c(ORCID = "0000-0002-4656-8684")))
Imports: glasso, GGally, ggdendro, ggplot2, ggpubr, igraph (>= 1.3.0),
lavaan, Matrix, matrixcalc, methods, network, OpenMx, pbapply,
Suggests: GPArotation, gridExtra, knitr, markdown, psych, psychTools,
pwr, RColorBrewer, rmarkdown, rstudioapi, sna

Title: Exploration and Graphics for RivEr Trends (EGRET)
Authors@R: c( person("Robert", "Hirsch", role = c("aut"),
person("Laura", "DeCicco", role = c("aut","cre"),
Description: EGRET includes statistics and graphics for streamflow history,
water quality trends, and the statistical modeling algorithm Weighted
Regressions on Time, Discharge, and Season (WRTDS).
Imports: dataRetrieval, survival, fields, stats, lubridate, methods

Description: Statistics and graphics for streamflow history,
water quality trends, and the statistical modeling algorithm: Weighted
Imports: dataRetrieval (>= 2.0.1), survival, fields, stats, lubridate,

Suggests: xtable, knitr, extrafont, testthat

Imports: dataRetrieval (>= 2.0.1), survival, fields, lubridate,
methods, utils, graphics, stats, grDevices
Suggests: xtable, knitr, rmarkdown, extrafont, testthat, rkt

methods, utils, graphics, stats, grDevices, truncnorm

person("David", "Watkins", role = c("ctb")),
Imports: dataRetrieval (>= 2.0.1), survival, fields, methods, utils,
graphics, stats, grDevices, truncnorm, foreach
Suggests: EGRETci, xtable, knitr, rmarkdown, extrafont, testthat, rkt,
Author: Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>),

Title: Exploration and Graphics for RivEr Trends
Regressions on Time, Discharge, and Season (WRTDS). The modeling
method is introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>,
and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>.