}
\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{
Maintainer: \packageMaintainer{epclust}
}
-
-%\references{
-% TODO: Literature or other references for background information
-%}
-
-%\examples{
-% TODO: simple examples of the most important functions
-%}