c(person("Martin","Becker", role = c("aut","cre"),
email = "martin.becker@mx.uni-saarland.de",
comment=c(ORCID="0000-0003-2336-9751")),
person("Stefan","Klößner", role = c("aut"),
email = "S.Kloessner@mx.uni-saarland.de"),
person("Karline","Soetaert", role = c("com"),
email = "karline.soetaert@nioz.nl"),
person("LAPACK authors", role = "cph"))
Three generalizations of the synthetic control method (which has
already an implementation in package 'Synth') are implemented: first,
'MSCMT' allows for using multiple outcome variables, second, time series
can be supplied as economic predictors, and third, a well-defined
cross-validation approach can be used.
Much effort has been taken to make the implementation as stable as possible
(including edge cases) without losing computational efficiency.
A detailed description of the main algorithms is given in
Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Martin Becker [aut, cre] (<https://orcid.org/0000-0003-2336-9751>),
Stefan Klößner [aut],
Karline Soetaert [com],
LAPACK authors [cph]

c(person("Martin","Becker", role = c("aut","cre"),
email = "martin.becker@mx.uni-saarland.de",
comment=c(ORCID="0000-0003-2336-9751")),
person("Stefan","Klößner", role = c("aut"),
email = "S.Kloessner@mx.uni-saarland.de"),
person("Karline","Soetaert", role = c("com"),
email = "karline.soetaert@nioz.nl"),
person("Jack","Dongarra",role=c("cph"),
email = "dongarra@icl.utk.edu"),
person("R.J.","Hanson",role=c("cph")),
person("K.H.","Haskell",role=c("cph")),
person("Cleve","Moler",role=c("cph")),
person("LAPACK authors", role = "cph"))
Martin Becker [aut, cre] (<https://orcid.org/0000-0003-2336-9751>),
Stefan Klößner [aut],
Karline Soetaert [com],
Jack Dongarra [cph],
R.J. Hanson [cph],
K.H. Haskell [cph],
Cleve Moler [cph],
LAPACK authors [cph]

Analyzing Gene Tree Quartets under the Multi-Species Coalescent
c(person("Elizabeth", "Allman", email ="e.allman@alaska.edu", role = "aut"),
person("Hector", "Banos", email = "hbanos@gatech.edu", role = "aut"),
person("Jonathan", "Mitchell", email = "jonathanmitchell88@gmail.com", role = "aut"),
person("John", "Rhodes", email = "j.rhodes@alaska.edu", role = c("aut", "cre")) )
Methods for analyzing and using quartets displayed on a collection of gene trees,
primarily to make inferences about the species tree or network under the multi-species
coalescent model. These include quartet hypothesis tests for the model, as developed by
Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, the species tree inference routines
based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and
Yourdkhani and Rhodes (2019), and the NANUQ algorithm for inference of level-1
species networks of Allman et al. (2019) <arXiv:1905.07050>.
RandomFieldsUtils, zipfR, graphics, stats, Rdpack
Elizabeth Allman [aut],
Hector Banos [aut],
Jonathan Mitchell [aut],
John Rhodes [aut, cre]