f38407a0c567f9ab503ea84f7ec18ca9faccf8fe
[aggexp.git] / 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