Authors@R: c(person(given="Rene", family='Carmona', email='rcarmona@princeton.edu', role='aut'),
person(given="Jonathan M.", family="Lees", role = c("ctb", "cre"), email = "jonathan.lees@unc.edu"))
L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.

Package: Rwave
Version: 2.4
Date: 2015-04-26
Title: Time-Frequency Analysis of 1-D Signals
Author: S original by Rene Carmona <rcarmona@princeton.edu> and Bruno
Torresani <bruno.torresani@cmi.univ-mrs.fr>; R port by Brandon
Whitcher <bjw34032@users.sourceforge.net>; upgrade by Jonathan M. Lees<jonathan.lees@unc.edu>
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Depends: R (>= 2.14)
Description: A set of R functions which provide an
environment for the Time-Frequency analysis of 1-D signals (and
especially for the wavelet and Gabor transforms of noisy
signals). It was originally written for Splus by Rene Carmona,
Bruno Torresani, and Wen L. Hwang, first at the University of
California at Irvine and then at Princeton University.  Credit
should also be given to Andrea Wang whose functions on the
dyadic wavelet transform are included. Rwave is based on the
book: "Practical Time-Frequency Analysis: Gabor and Wavelet
Transforms with an Implementation in S", by Rene Carmona, Wen
L. Hwang and Bruno Torresani, Academic Press, 1998.
License: GPL (>= 2)
URL: http://www.orfe.princeton.edu/~rcarmona/TFbook/tfbook.html,
http://r-forge.r-project.org/projects/rwave/
Packaged: 2015-04-26 13:51:25 UTC; lees
Repository: CRAN
Date/Publication: 2015-04-26 16:17:19
NeedsCompilation: yes

Title: Random Walk Clustering on Weighted Graphs
person("Carson", "Sprock", , "csprock@gmail.com", role = c("aut", "cre"))
Description: Implements the random walk clustering algorithm for weighted graphs as found in Harel and Koren (2001) <https://link.springer.com/chapter/10.1007/3-540-45294-X_3>.
Suggests: igraph, knitr, rmarkdown, testthat (>= 3.0.0)

Title: Sweave Drivers with Extra Tricks Up their Sleeve
Authors@R: c(person("Vincent", "Goulet", role = c("cre", "aut"),
Description: Weave and tangle drivers for Sweave extending the
standard drivers with additional code chunk options. Currently,
these are only options to completely ignore, or skip, code chunks on
weaving, tangling, or both. Chunks ignored on weaving are not parsed
and are written out verbatim on tangling. Chunks ignored on tangling
are processed as usual on weaving, but completely left out of the