c(
person("Silvana M.", "Pesenti", email = "swimpackage@gmail.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6661-6970")),
person("Alberto", "Bettini",
role = c("aut")),
person("Pietro", "Millossovich",
role = c("aut"), comment = c(ORCID = "0000-0001-8269-7507")),
person("Andreas", "Tsanakas",
role = c("aut"), comment = c(ORCID = "0000-0003-4552-5532")),
person("Zhuomin", "Mao",
role = c("ctb")),
person("Kent", "Wu",
role = c("ctb"))
)
An efficient sensitivity analysis for stochastic models based on
Monte Carlo samples. Provides weights on simulated scenarios from a
stochastic model, such that stressed random variables fulfil given
probabilistic constraints (e.g. specified values for risk measures),
under the new scenario weights. Scenario weights are selected by
constrained minimisation of the relative entropy to the baseline model.
The 'SWIM' package is based on Pesenti S.M., Millossovich P., Tsanakas A. (2019)
"Reverse Sensitivity Testing: What does it take to break the model"
<openaccess.city.ac.uk/id/eprint/18896/> and Pesenti S.M. (2021)
"Reverse Sensitivity Analysis for Risk Modelling" <https://www.ssrn.com/abstract=3878879>.
Silvana M. Pesenti [aut, cre] (<https://orcid.org/0000-0002-6661-6970>),
Alberto Bettini [aut],
Pietro Millossovich [aut] (<https://orcid.org/0000-0001-8269-7507>),
Andreas Tsanakas [aut] (<https://orcid.org/0000-0003-4552-5532>),
Zhuomin Mao [ctb],
Kent Wu [ctb]

Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Tools for retrieving, organizing, and analyzing environmental
data from the System Wide Monitoring Program of the National Estuarine
Research Reserve System.  These tools address common challenges
associated with continuous time series data for environmental decision
making.
data.table, httr, ggmap, gridExtra, maptools, oce, dplyr,
reshape2, tictoc, tidyr, wq, XML

data.table, httr, ggmap, gridExtra, maptools, oce, dplyr,
RColorBrewer, reshape2, tictoc, tidyr, wq, XML

data.table, httr, ggmap, gridExtra, maptools, oce, dplyr,
RColorBrewer, reshape2, tictoc, tidyr, XML