Title: Download and process AEMO price and demand data
person('Imanuel', 'Costigan', email = 'i.costigan@me.com',
person('Australian Energy Market Operator', role = 'cph'))
Description: Download and process real time trading prices and demand data
freely provided by the Australian Energy Market Operator (AEMO). Note that
Imports: dplyr (>= 0.2), stringr (>= 0.6.2), assertthat (>= 0.1),

Title: Download and Process AEMO Price and Demand Data

person(given = "Australian Energy Market Operator",
Description: 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.
Imports: assertthat (>= 0.1), dplyr (>= 0.5.0), lubridate (>= 1.3.3),

Title: Active Function Cross-Entropy Clustering
Author: Krzysztof Byrski [aut, cre], Przemyslaw Spurek [ctb]
Description: 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>.
Packaged: 2017-12-15 15:00:09 UTC; Byrski Krzysztof

Packaged: 2018-01-04 12:18:08 UTC; Byrski Krzysztof

Packaged: 2018-01-04 15:20:42 UTC; Byrski Krzysztof

Description: Package to calculate the Generalized Discrimination Score (also known as Two Alternatives Forced Choice Score (2AFC)
Packaged: Wed Feb 18 11:23:54 2009; aweigel