R package brainwaver: Basic wavelet analysis of multivariate time series with a visualisation and parametrisation using graph theory. This package computes the correlation matrix for each scale of a wavelet decomposition, namely the one performed by the R package waveslim (Whitcher, 2000). An hypothesis test is applied to each entry of one matrix in order to construct an adjacency matrix of a graph. The graph obtained is finally analysed using the small-world theory (Watts and Strogatz, 1998) and using the computation of efficiency (Latora, 2001), tested using simulated attacks. The brainwaver project is complementary to the camba project for brain-data preprocessing. A collection of scripts (with a makefile) is avalaible to download along with the brainwaver package, see information on the webpage mentioned below.
Keywords for this software
References in zbMATH (referenced in 2 articles )
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- Mair, Patrick: Modern psychometrics with R (2018)
- Leppä-aho, Janne; Pensar, Johan; Roos, Teemu; Corander, Jukka: Learning Gaussian graphical models with fractional marginal pseudo-likelihood (2017)