Package: aggexp
Title: aggexp : AGGregation of EXPerts to forecast time-series
Version: 0.2-3
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)
Suggests:
    gam,
    tree,
    kernlab
LazyData: yes
URL: http://git.auder.net/?p=aggexp.git
License: MIT + file LICENSE
Collate:
    'A_NAMESPACE.R'
    'z_util.R'
    'b_Algorithm.R'
    'b_LinearAlgorithm.R'
    'd_dataset.R'
    'm_ExponentialWeights.R'
    'm_GeneralizedAdditive.R'
    'm_KnearestNeighbors.R'
    'm_MLPoly.R'
    'm_RegressionTree.R'
    'm_RidgeRegression.R'
    'm_SVMclassif.R'
    'z_getData.R'
    'z_runAlgorithm.R'
    'z_plotHelper.R'
    'z_plot.R'
RoxygenNote: 5.0.1