A python port of the R package mosum https://CRAN.R-project.org/package=mosum. Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) doi:10.3150/16-BEJ887 and the multiscale algorithmic extension from Cho and Kirch (2022) doi:10.1007/s10463-021-00811-5, as well as the bootstrap procedure for generating confidence intervals about the locations of change points as proposed in Cho and Kirch (2022) doi:10.1016/j.csda.2022.107552. See also Meier, Kirch and Cho (2021) doi:10.18637/jss.v097.i08 which accompanies the R package.

$ pip install mosum

mosum.py can be used as follows to detect changes in the mean of a time series

import mosum
#   simulate data
xx = mosum.testData("blocks")["x"]
# detect changes
xx_m  = mosum.mosum(xx, G = 50, criterion = "eta", boundary_extension = True)
# summary and print methods
xx_m.summary()
xx_m.print()
# plot the output
xx_m.plot(display="mosum")
from matplotlib import pyplot as plt
plt.show()

See usage for a detailed description of how to use the package.

mosum.py was created by Dom Owens, based on the R package "mosum", originally by Alexander Meier, Haeran Cho, and Claudia Kirch. It is licensed under the terms of the MIT license.