Exploration and Graphics for RivEr Trends Confidence Intervals
c(person("Laura", "DeCicco", role = c("aut","cre"),
email = "ldecicco@usgs.gov",
comment=c(ORCID="0000-0002-3915-9487")),
person("Robert", "Hirsch", role = c("aut"),
email = "rhirsch@usgs.gov",
comment=c(ORCID="0000-0002-4534-075X")),
person("Jennifer","Murphy", role = c("ctb")))
Collection of functions to evaluate uncertainty of results from
water quality analysis using the Weighted Regressions on Time Discharge and
Season (WRTDS) method. This package is an add-on to the EGRET package that
performs the WRTDS analysis. The WRTDS modeling
method was initially 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>. The
paper describing the uncertainty and confidence interval calculations
is Hirsch et al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.
Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>),
Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>),
Jennifer Murphy [ctb]

EGRET(>= 3.0.5), binom, stats, graphics, utils
knitr, testthat, doParallel, iterators, rmarkdown, pkgdown,
covr

Ensemble Gene Regulatory Network Inference
c(person("Chiranjib", "Sarkar", role = c("aut","cre","ctb"),email="cschiranjib9@gmail.com",comment=c(ORCID="0000-0003-1536-7449")),
person("Dipayan", "Sarkar", role = c("aut"),email="dipayansarkar26@gmail.com",comment=c(ORCID="0000-0002-0765-5689")),
person("Rajender", "Parsad", role = c("aut"),email="Rajender.Parsad@icar.gov.in"),
person("Dwijesh", "Mishra", role = c("aut"),email="dwij.mishra@gmail.com",comment=c(ORCID="0000-0002-3327-6156")))
Chiranjib Sarkar [aut, cre, ctb]
(<https://orcid.org/0000-0003-1536-7449>),
Dipayan Sarkar [aut] (<https://orcid.org/0000-0002-0765-5689>),
Rajender Parsad [aut],
Dwijesh Mishra [aut] (<https://orcid.org/0000-0002-3327-6156>)
Gene regulatory network constructed using combined score obtained from
individual network inference method. The combined score measures the significance
of edges in the ensemble network. Fisher's weighted method has been implemented to
combine the outcomes of different methods based on the probability values.
The combined score follows chi-square distribution with 2n degrees of freedom. <doi:10.22271/09746315.2020.v16.i3.1358>.