Tools to Complete Euclidean Distance Matrices
Implements several algorithms for Euclidean distance matrix completion,
Sensor Network Localization, and sparse Euclidean distance matrix completion using
the minimum spanning tree.
Adam Rahman and Wayne Oldford <rwoldford@uwaterloo.ca>
Matrix, igraph, lbfgs, truncnorm, MASS, nloptr, vegan

Provides a Link Between the 'Refinitiv Datastream' System and R
Provides a set of functions and a class to connect, extract and
upload information from the 'Refinitiv Datastream' database. This
package uses the 'DSWS' API and server used by the 'Datastream DFO addin'.
Details of this API on the 'DSWS' page of <https://developers.refinitiv.com/en>.
Please report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.
httr, jsonlite, stringi, stringr, xts, zoo, methods, foreach,
dplyr
'DatastreamDSWS2R.R' 'common.R' 'classConstructor.R'
'wrapper.R' 'UCTSUpload.R' 'cbindRobust.R' 'data.R'

Provides a set of functions and a class to connect, extract and
upload information from the 'Refinitiv Datastream' database. This
package uses the 'DSWS' API and server used by the 'Datastream DFO addin'.
Details of this API are available at <https://www.refinitiv.com/en>.
Please report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.

useful functions for the Davies quantile function and the
Generalized Lambda distribution.
Robin K. S. Hankin <r.hankin@soc.soton.ac.uk>

useful functions for the Davies quantile function and the Generalized Lambda distribution
Robin K. S. Hankin <r.hankin@auckland.ac.nz>

The Davies quantile function and the Generalized Lambda distribution

The Davies quantile function and the Generalized Lambda
distribution

Various utilities for the Davies distribution and the
generalized lambda distribution

Various utilities for the Davies distribution.

Detecting Changes in Autocorrelated and Fluctuating Signals
c(person("Gaetano", "Romano", email = "g.romano@lancaster.ac.uk", role = c("aut", "cre")), person("Guillem", "Rigaill", role = c("aut")), person("Vincent", "Runge", role = c("aut")), person("Paul", "Fearnhead", role = c("aut")))
Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2020) <arXiv:2005.01379>.
Gaetano Romano [aut, cre],
Guillem Rigaill [aut],
Vincent Runge [aut],
Paul Fearnhead [aut]