c(person("James", "Melville", email = "jlmelville@gmail.com",
role = c("aut", "cre")),
person("Aaron", "Lun", role = "ctb"),
person("Samuel", "Granjeaud", role = "ctb"),
person("Dmitriy", "Selivanov", role = "ctb"),
person("Yuxing", "Liao", role = "ctb"))
James Melville [aut, cre],
Aaron Lun [ctb],
Samuel Granjeaud [ctb],
Dmitriy Selivanov [ctb],
Yuxing Liao [ctb]

Iterator Based Expression Template Expansion of Standard
Operators
Creates an easy way to use expression templates with R
semantics on any iterator based structure.

Solves Minimum Cost Bipartite Matching Problems
c(person("Justin", "Silverman", role=c("aut", "cre"),
email = "Justin.Silverman@duke.edu"),
person("Cong", "Ma", role=c("ctb", "cph")),
person("Markus", "Buehren", role=c("ctb", "cph")))
Header library and R functions to solve minimum cost bipartite matching problem
using Huhn-Munkres algorithm (Hungarian algorithm; <https://en.wikipedia.org/wiki/Hungarian_algorithm>;
Kuhn (1955) doi:10.1002/nav.3800020109).
This is a repackaging of code written by Cong Ma in the GitHub repo <https://github.com/mcximing/hungarian-algorithm-cpp>.
testthat (>= 2.1.0), knitr, rmarkdown, ggplot2
Justin Silverman [aut, cre],
Cong Ma [ctb, cph],
Markus Buehren [ctb, cph]

c(person("Justin", "Silverman", role=c("aut", "cre"),
email = "JustinSilverman@psu.edu"),
person("Cong", "Ma", role=c("ctb", "cph")),
person("Markus", "Buehren", role=c("ctb", "cph")))
Header library and R functions to solve minimum cost bipartite matching problem
using Huhn-Munkres algorithm (Hungarian algorithm; <https://en.wikipedia.org/wiki/Hungarian_algorithm>;
Kuhn (1955) <doi:10.1002/nav.3800020109>).
This is a repackaging of code written by Cong Ma in the GitHub repo <https://github.com/mcximing/hungarian-algorithm-cpp>.

person("Zachary", "DeBruine",
email = "zacharydebruine@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-2234-4827"))
High-performance machine learning algorithms
implemented in 'Rcpp' and 'RcppEigen', including non-negative
factorization of sparse matrices, projection of linear
factor models, and non-negative least squares.
Zachary DeBruine [aut, cre] (<https://orcid.org/0000-0003-2234-4827>)