X-Git-Url: https://git.auder.net/?p=epclust.git;a=blobdiff_plain;f=epclust%2Fman%2Fepclust-package.Rd;h=f9917464dfbe8a207ee131967c24f6bb0b4cd642;hp=c6bfac099ebae864428f6a53d8ba2f898b6a8304;hb=282342bafdc9ff65c5df98c6e2304d63b33b9fb2;hpb=3c5a4b0880db63367a474a568e1322b3999932fe

diff --git a/epclust/man/epclust-package.Rd b/epclust/man/epclust-package.Rd
index c6bfac0..f991746 100644
--- a/epclust/man/epclust-package.Rd
+++ b/epclust/man/epclust-package.Rd
@@ -12,11 +12,25 @@
 }
 
 \details{
-	The package devtools should be useful in development stage, since we rely on testthat for
-	unit tests, and roxygen2 for documentation. knitr is used to generate the package vignette.
-	Concerning the other suggested packages, 'parallel' can speed up (...TODO...)
-
-	The main function is located in R/main.R: it runs the clustering task (TODO: explain more).
+  Non-R-base dependencies:
+  \itemize{
+    \item cluster: for PAM algorithm
+    \item bigmemory: to share (big) matrices between processes
+    \item wavelets: to compute curves contributions using DWT
+    \item Rwave: to compute the CWT
+  }
+
+  Suggested packages:
+  \itemize{
+    \item synchronicity: to compute synchrones in // (concurrent writes)
+    \item devtools,testthat,roxygen2: development environment (doc, reload, test...)
+    \item MASS: generate multivariate gaussian samples in tests
+    \item wmtsa: generate sample curves for \code{claws} examples
+    \item DBI: for the example with series in an SQLite DB
+    \item digest: to compare \code{claws} examples results
+  }
+
+  The package vignette was generated with Jupyter, outside R packaging flow.
 }
 
 \author{
@@ -24,11 +38,3 @@
 
 	Maintainer: \packageMaintainer{epclust}
 }
-
-%\references{
-%	TODO: Literature or other references for background information
-%}
-
-%\examples{
-%	TODO: simple examples of the most important functions
-%}