pkg/DESCRIPTION

   1 Package: aggexp
   2 Title: aggexp : AGGregation of EXPerts to forecast time-series
   3 Version: 0.2-3
   4 Description: As the title suggests, past predictions of a set of given experts
   5     are aggregated until time t to predict at time t+1, (generally) as a weighted
   6     sum of values at time t. Several weights optimization algorithm are compared:
   7     exponential weights, MLPoly, and some classical statistical learning procedures
   8     (Ridge, SVM...).
   9 Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
  10     Jean-Michel Poggi <Jean-Michel.Poggi@parisdescartes.fr> [ctb],
  11     Bruno Portier <Bruno.Portier@insa-rouen.fr>, [ctb]
  12 Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
  13 Depends:
  14     R (>= 3.0)
  15 Suggests:
  16     gam,
  17     tree,
  18     kernlab
  19 LazyData: yes
  20 URL: http://git.auder.net/?p=aggexp.git
  21 License: MIT + file LICENSE
  22 Collate:
  23     'A_NAMESPACE.R'
  24     'z_util.R'
  25     'b_Algorithm.R'
  26     'b_LinearAlgorithm.R'
  27     'd_dataset.R'
  28     'm_ExponentialWeights.R'
  29     'm_GeneralizedAdditive.R'
  30     'm_KnearestNeighbors.R'
  31     'm_MLPoly.R'
  32     'm_RegressionTree.R'
  33     'm_RidgeRegression.R'
  34     'm_SVMclassif.R'
  35     'z_getData.R'
  36     'z_runAlgorithm.R'
  37     'z_plotHelper.R'
  38     'z_plot.R'
  39 RoxygenNote: 5.0.1