c(person(given="Rene", family='Carmona', email='rcarmona@princeton.edu', role='aut'),
person(given="Bruno", family='Torresani', email='bruno.torresani@cmi.univ-mrs.fr', role='aut'),
person(given="Brandon", family='Whitcher', email='bjw34032@users.sourceforge.net', role='ctb'),
person(given="Andrea", family='Wang', role='ctb'),
person(given="Wen-Liang", family='Hwang', role='ctb'),
person(given="Jonathan M.", family="Lees", role = c("ctb", "cre"), email = "jonathan.lees@unc.edu"))
Rene Carmona [aut],
Bruno Torresani [aut],
Brandon Whitcher [ctb],
Andrea Wang [ctb],
Wen-Liang Hwang [ctb],
Jonathan M. Lees [ctb, cre]
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 (1998, eBook ISBN:978008053942), Academic Press.

c(person(given="Rene", family='Carmona', email='rcarmona@princeton.edu', role='aut'),
person(given="Bruno", family='Torresani', email='bruno.torresani@cmi.univ-mrs.fr', role='aut'),
person(given="Brandon", family='Whitcher', email='bjw34032@users.sourceforge.net', role='ctb'),
person(given="Andrea", family='Wang', role='ctb'),
person(given="Wen-Liang", family='Hwang', role='ctb'),
person(given="Robert", family="Alberts", role='ctb'),
person(given="Jonathan M.", family="Lees", role = c("ctb", "cre"), email = "jonathan.lees@unc.edu"))
Rene Carmona [aut],
Bruno Torresani [aut],
Brandon Whitcher [ctb],
Andrea Wang [ctb],
Wen-Liang Hwang [ctb],
Robert Alberts [ctb],
Jonathan M. Lees [ctb, cre]

Random Walk Clustering on Weighted Graphs
person("Carson", "Sprock", , "csprock@gmail.com", role = c("aut", "cre"))
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>.
igraph, knitr, rmarkdown, testthat (>= 3.0.0)