Package: PeakSegDP
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Author: Toby Dylan Hocking, Guillem Rigaill
Version: 2017.08.15
License: GPL-3
Title: Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
        Data
Description: A quadratic time dynamic programming algorithm
 can be used to compute an approximate solution to the problem of
 finding the most likely changepoints
 with respect to the Poisson likelihood, subject
 to a constraint on the number of segments, and the changes which must
 alternate: up, down, up, down, etc. For more info read
 <http://proceedings.mlr.press/v37/hocking15.html>
 "PeakSeg: constrained optimal segmentation and supervised penalty learning
 for peak detection in count data" by TD Hocking et al,
 proceedings of ICML2015.
Suggests: ggplot2 (>= 2.0), testthat, penaltyLearning
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2017-08-15 13:21:05 UTC; tdhock
Repository: CRAN
Date/Publication: 2017-08-15 21:39:42 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-04-26 00:34:21 UTC; unix
Archs: PeakSegDP.so.dSYM
