Description Explanation Author(s) References
This package is the data and code support for three papers: Shi, Wu and Rao (2017); Shi, Wu and Rao (2018); Shi, Chen, Dong and Rao (2020). It provides change points estimation methods, graph-based clustering method , and related data analysis in these three papers.
library(GraphCpClust)
help(CpBeeCell) #View the change points estimation method introduced in Shi, Wu and Rao (2017) and Shi, Wu and Rao (2018)
example("CpBeeCell") # The examples of change points estimation introduced in Shi, Wu and Rao (2017) and Shi, Wu and Rao (2018)
help(PathClust) # The graph-based clustering method introduced in Shi, Chen, Dong and Rao (2020)
example("PathClust") #Some examples of the graph-based clustering method introduced in Shi, Chen, Dong and Rao (2020)
SimulationPlot() #the Comparisons of graph-based clustering method and model-based clustering method
example("CpCOVID") #The examples of change points estimation introduced in Shi, Chen, Dong and Rao (2020)
Maintainer: Meiqian Chen mqchen@stu.scu.edu.cn
Meiqian Chen
Xiaoping Shi
Hao Li
SHI, X.P., WU, Y.H. & RAO, C.R. (2017). Consistent and powerful graph-based change-point test for high-dimensional data. Proc Natl Acad Sci 114, 3873-8.
SHI, X.P., WU, Y.H. & RAO, C.R. (2018). Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data. Proc Natl Acad Sci 115, 5914-5919.
SHI, X.P., CHEN, M.Q., DONG, Y.C. & RAO, C.R. (2020). Exploring the space-time pattern of log-transformed infectious count of COVID-19: a clustering-segmented autoregressive sigmoid model.
Data support:
Lihoreau M, Chittka L, Raine NE (2016) Monitoring flower visitation networks and interactions between pairs of bumble bees in a large outdoor flight cage. PLoS One 11:e0150844.
Ciccone M, Gutwein M, Gunsalus KC, Geiger D (2014) Label free cell-tracking and division detection based on 2D time-lapse images for lineage analysis of early embryo development. Comput Biol Med 51:24-34. http://celltracking.bio.nyu.edu/
Wuhan-2019-nCoV: https://github.com/canghailan/Wuhan-2019-nCoV/
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