stepR - an R package for change-point inference
Authors: T. Hotz and H. Sieling
This package includes an implementation of the change-point methods described in the work of
K. Frick, A. Munk and H. Sieling (2013),
Multiscale change-point inference,
Journal of the Royal Statist. Society, Ser. B, with discussion and a rejoinder by the authors,
Pein, F., Sieling, H., Munk, A. (2016),
Heterogeneuous change point inference,
arxiv.org/1505.04898, Journ. Royal. Statist. Soc. Ser. B. To appear.,
T. Hotz, O. Schuette, H. Sieling, T. Polupanow, U. Diederichsen, C. Steinem and A. Munk (2013),
Idealizing Ion Channel Recordings by a Jump Segmentation Multiresolution Filter,
IEEE Transactions on NanoBioscience
and
A. Futschik, T. Hotz, A. Munk, H. Sieling (2014),
Multiscale DNA partitioning: statistical evidence for segments,
Bioinformatics.
The package is available on CRAN: https://CRAN.R-project.org/package=stepR