R: Change Point Detection in High-Dimensional Time Series Networks

# Change Point Detection in High-Dimensional Time Series Networks

## Documentation for package ‘fabisearch’ version 0.0.4.5

- DESCRIPTION file
- Package NEWS

## Help Pages

AALatlas | Automated Anatomical Labeling (AAL) atlas coordinates
AALfmri | 90 ROI data from the NYU test-retest resting state fMRI data set
adjmatrix | Adjacency matrix for the NYU test-restest resting-state fMRI data set
detect.cps | Multiple change point detection in the network (or clustering) structure of multivariate high-dimensional time series
est.net | Sparse network estimation using non-negative matrix factorization (NMF) for data between change points
fabisearch | Change Point Detection in High-Dimensional Time Series Networks
gordatlas | Gordon atlas coordinates
gordfmri | 333 ROI data from the NYU test-retest resting state fMRI data set
logSP500 | Daily adjusted logarithmic returns for the Standard and Poor's 500
net.3dplot | 3D network plot of an adjacency matrix between pairs of change points
opt.rank | Finds the optimal rank for non-negative matrix factorization (NMF)
sim2 | A simulated data set (see simulation 2 from Ondrus et al., 2021)