c(person(given = "Imanuel",
family = "Costigan",
role = c("aut", "cre"),
email = "i.costigan@me.com"),
person(given = "Australian Energy Market Operator",
role = "cph"))
Download and process real time trading prices and
demand data freely provided by the Australian Energy Market Operator
(AEMO). Note that this includes a sample data set.
assertthat (>= 0.1), dplyr (>= 0.5.0), lubridate (>= 1.3.3),
stats, stringr (>= 0.6.2), utils

Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb]
Active function cross-entropy clustering partitions the n-dimensional data into the clusters by finding the parameters of the mixed generalized multivariate normal distribution, that optimally approximates the scattering of the data in the n-dimensional space, whose density function is of the form: p_1*N(mi_1,^sigma_1,sigma_1,f_1)+...+p_k*N(mi_k,^sigma_k,sigma_k,f_k). The above-mentioned generalization is performed by introducing so called "f-adapted Gaussian densities" (i.e. the ordinary Gaussian densities adapted by the "active function"). Additionally, the active function cross-entropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, "Active function Cross-Entropy Clustering" (2017) <doi:10.1016/j.eswa.2016.12.011>.

Package to calculate the Generalized Discrimination Score (also known as Two Alternatives Forced Choice Score (2AFC)

Package to calculate the Generalized Discrimination Score
(also known as Two Alternatives Forced Choice Score (2AFC)

c(person("Andreas", "Weigel", email="", role = "aut"),
person("MeteoSwiss", "", role=c('cph')),
person("Jonas", "Bhend", email="jonas.bhend@meteoswiss.ch", role = c('cre', 'ctb')))
This is an implementation of the Generalized Discrimination Score
(also known as Two Alternatives Forced Choice Score, 2AFC) for various
representations of forecasts and verifying observations. The Generalized
Discrimination Score is a generic forecast verification framework which
can be applied to any of the following verification contexts: dichotomous,
polychotomous (ordinal and nominal), continuous, probabilistic, and ensemble.
A comprehensive description of the Generalized Discrimination Score, including
all equations used in this package, is provided by Mason and Weigel (2009)
<doi:10.1175/MWR-D-10-05069.1>.
Andreas Weigel [aut],
MeteoSwiss [cph],
Jonas Bhend [cre, ctb]