Title: Quantitative Support of Decision Making under Uncertainty
person("Lutz", "Göhring",  email = "lutz.goehring@gmx.de",  role = c("cre", "aut"), comment="ICRAF and Lutz Göhring Consulting"),
person("Eike", "Luedeling", email = "eike@eikeluedeling.com ", role = "aut", comment="ICRAF"))
Copyright: World Agroforestry Centre (ICRAF) 2015
Description: Supporting the quantitative analysis of binary welfare based
decision making processes using Monte Carlo simulations. Decision support
is given on two levels: (i) The actual decision level is to choose between
two alternatives under probabilistic uncertainty. This package calculates
the optimal decision based on maximizing expected welfare. (ii) The meta
decision level is to allocate resources to reduce the uncertainty in the
underlying decision problem, i.e to increase the current information to
improve the actual decision making process. This problem is dealt with
using the Value of Information Analysis. The Expected Value of
Information for arbitrary prospective estimates can be calculated as
well as Individual and Clustered Expected Value of Perfect Information.
The probabilistic calculations are done via Monte Carlo
simulations. This Monte Carlo functionality can be used on its own.
(>= 2.6), pls (>= 2.4.3), rriskDistributions (>= 2.0), testthat
Author: Lutz Göhring [cre, aut] (ICRAF and Lutz Göhring Consulting),

person("Eike", "Luedeling",  email = "eike@eikeluedeling.com",  role = c("cre", "aut"), comment="ICRAF"),
person("Lutz", "Göhring", email = "lutz.goehring@gmx.de", role = "aut", comment="ICRAF and Lutz Göhring Consulting"))
well as Individual Expected Value of Perfect Information.
Classification/JEL: I38, O16, O21, O22, O23
Author: Eike Luedeling [cre, aut] (ICRAF),
Lutz Göhring [aut] (ICRAF and Lutz Göhring Consulting)

2.4.3), rriskDistributions (>= 2.0), testthat (>= 0.9.1), knitr

3.1.3), rriskDistributions (>= 2.0), testthat (>= 0.9.1),

person("Lutz", "Goehring", email = "lutz.goehring@gmx.de", role = "aut", comment="ICRAF and Lutz Goehring Consulting"))
Lutz Goehring [aut] (ICRAF and Lutz Goehring Consulting)