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b76a24cd BA |
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 |