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.

Basic wavelet analysis of multivariate time series with a
visualisation and parametrisation using graph theory.
Sophie Achard <sa428@cam.ac.uk>, ,
<sophie.achard@gipsa-lab.inpg.fr>
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.

Select cost-efficient factors using Branching LARS method

c(person("Donal", "Phipps", email = "donal.phipps@gmail.com", role = c("aut", "cre")))
Interact with the 'Brandwatch' API <https://developers.brandwatch.com/docs>.
Allows you to authenticate to the API and obtain data for projects, queries, query groups tags and categories.
Also allows you to directly obtain mentions and aggregate data for a specified query or query group.

Benjamin Schlegel [aut,cre], Marco Steenbergen [aut]
Tests the parallel regression assumption for ordinal logit models generated with the function polr() from the package MASS.