-Package: affexp
+Package: aggexp
Title: aggexp : AGGregation of EXPerts to forecast time-series
Version: 0.2-3
-Description: Blabla TODO
-Authors: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
- Jean-Michel Poggi <Jean-Michel.Poggi@parisdescartes.fr> [ctb],
- Bruno Portier <Bruno.Portier@insa-rouen.fr>, [ctb]
+Description: As the title suggests, past predictions of a set of given experts
+ are aggregated until time t to predict at time t+1, (generally) as a weighted
+ sum of values at time t. Several weights optimization algorithm are compared:
+ exponential weights, MLPoly, and some classical statistical learning procedures
+ (Ridge, SVM...).
+Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
+ Jean-Michel Poggi <Jean-Michel.Poggi@parisdescartes.fr> [ctb],
+ Bruno Portier <Bruno.Portier@insa-rouen.fr>, [ctb]
Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
Depends:
R (>= 3.0)
URL: http://git.auder.net/?p=aggexp.git
License: MIT + file LICENSE
Collate:
- 'aggexp.R'
+ 'A_NAMESPACE.R'
'z_util.R'
'b_Algorithm.R'
'b_LinearAlgorithm.R'
+ 'd_dataset.R'
'm_ExponentialWeights.R'
'm_GeneralizedAdditive.R'
'm_KnearestNeighbors.R'
'z_runAlgorithm.R'
'z_plotHelper.R'
'z_plot.R'
+RoxygenNote: 5.0.1