Causal Inference in Spatiotemporal Event Data
Matched Wake Analysis (mwa) grants insights into causal relationships in spatiotemporal event data.

Implementation of Matched Wake Analysis (mwa) for studying causal relationships in spatiotemporal event data, introduced by Schutte and Donnay (2014) <doi:10.1016/j.polgeo.2014.03.001>.

Multichannel wavelet deconvolution with additive long memory
noise
Computes the Wavelet deconvolution estimate of a common signal
present in multiple channels that have possible different levels of blur
and long memory additive error.

fracdiff, ggplot2, gridExtra, testthat, knitr

Multichannel Wavelet Deconvolution with Additive Long Memory
Noise

fracdiff, ggplot2, testthat, knitr, rmarkdown

c(person(given = "Justin Rory", family = "Wishart", role = c("aut", "cre"), email = "justin.r.wishart@gmail.com", comment = c(ORCID = "0000-0002-8235-1845")))
Computes the Wavelet deconvolution estimate of a common signal
present in multiple channels that have possible different levels of blur
and long memory additive error, see Kulik, Sapatinas and Wishart (2015), <doi:10.1016/j.acha.2014.04.004>.
Justin Rory Wishart [aut, cre]
(<https://orcid.org/0000-0002-8235-1845>)

Solvers for the Maximum Weight Connected Subgraph Problem and
Its Variants
c(person("Alexander", "Loboda", email = "aleks.loboda@gmail.com", role = c("aut", "cre")),
person("Nikolay", "Poperechnyi", email = "n.poperechnyi@gmail.com", role = "aut"),
person("Eduardo", "Alvarez-Miranda", email = "ealvarez@utalca.cl", role = "aut"),
person("Markus", "Sinnl", email = "markus.sinnl@univie.ac.at", role = "aut"),
person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = "aut"),
person("Paul", "Hosler Jr.", role = "cph", comment = "Bundled JOpt Simple package"),
person("www.hamcrest.org", role = "cph", comment = "Bundled hamcrest package"),
person("Barak Naveh and Contributors", role = "cph", comment = "Bundled JGraphT package"),
person("The Apache Software Foundation", role = "cph", comment = "Bundled Apache Commons Math package"))
Algorithms for solving various Maximum
Weight Connected Subgraph Problems, including variants with
budget constraints, cardinality constraints, weighted edges and signals.
The package represents an R interface to high-efficient solvers based on
relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>)
mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>)
and simulated annealing.
knitr, rmarkdown, mathjaxr, testthat, BioNet, roxygen2, DLBCL
Alexander Loboda [aut, cre],
Nikolay Poperechnyi [aut],
Eduardo Alvarez-Miranda [aut],
Markus Sinnl [aut],
Alexey Sergushichev [aut],
Paul Hosler Jr. [cph] (Bundled JOpt Simple package),
www.hamcrest.org [cph] (Bundled hamcrest package),
Barak Naveh and Contributors [cph] (Bundled JGraphT package),
The Apache Software Foundation [cph] (Bundled Apache Commons Math
package)