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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.
Package details 


Author  Toby Dylan Hocking, Guillem Rigaill 
Maintainer  Toby Dylan Hocking <toby.hocking@rproject.org> 
License  GPL3 
Version  2017.08.15 
Package repository  View on CRAN 
Installation 
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