X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=epclust%2FDESCRIPTION;h=3bc89601fb3bcf1a2f383e3f40fb6b19916b607f;hb=e9f4b74f802246043867982006c812cfa116c4fd;hp=030e944bdd50117ab9b238de3e0976ff638d3889;hpb=8702eb86906bd6d59e07bb887e690a20f29be63f;p=epclust.git

diff --git a/epclust/DESCRIPTION b/epclust/DESCRIPTION
index 030e944..3bc8960 100644
--- a/epclust/DESCRIPTION
+++ b/epclust/DESCRIPTION
@@ -1,10 +1,11 @@
 Package: epclust
-Title: Clustering individual electricity power curves
-Description: EPCLUST: Electric Power curves CLUSTering, through their wavelets
-    decomposition. The main method 'epclust' takes (usually long) time-series
+Title: Clustering Individual Electricity Power Curves
+Description: Electric Power curves CLUSTering, through their wavelets
+    decomposition. The main function 'claws' takes (usually long) time-series
     in input, and return as many clusters centers as requested, along with their
-    identifiers (if aplicable). Several parameters can be tuned: please refer to the
-    package vignette.
+    ranks and synchrones (sum of all curves in one group).
+    For the method, see ?claws and https://arxiv.org/abs/1101.4744.
+    For usage examples, see ?claws and package vignette.
 Version: 0.1-0
 Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
     Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut],
@@ -12,17 +13,31 @@ Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
     Jean-Michel Poggi <Jean-Michel.Poggi@math.u-psud.fr> [ctb]
 Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
 Depends:
-    R (>= 3.0.0),
+    R (>= 3.0.0)
+Imports:
+    methods,
     parallel,
     cluster,
-    wavelets
+    bigmemory,
+    wavelets,
+    Rwave
 Suggests:
+    synchronicity,
+    devtools,
     testthat,
+    roxygen2,
+    MASS,
     wmtsa,
-    RSQLite
+    DBI,
+    digest
 License: MIT + file LICENSE
 RoxygenNote: 5.0.1
 Collate:
+    'main.R'
     'clustering.R'
     'de_serialize.R'
-    'main.R'
+    'A_NAMESPACE.R'
+    'computeSynchrones.R'
+    'computeWerDists.R'
+    'plot.R'
+    'utils.R'