c(
person(given="Allan", family="Quadros", email = "allanvcq@gmail.com",
role = c("aut", "cre")),
person(given="Andre", family="Cancado", email = "cancado@unb.br",
role = c("aut")),
person(given="Pedro", family="Brom", email = "pcbrom@gmail.com",
role = c("aut")),
person(given="Eduardo", family="Hellas", email = "ehellas@gmail.com",
role = c("aut"))
)
Computes an Euclidean Minimum Spanning Tree using the Dual-Tree
Boruvka algorithm (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>)
implemented in 'mlpack' - the C++ Machine Learning library (Curtin, 2005,
<doi:10.21105/joss.00726>). 'emstreeR' works as a wrapper so that R users
can benefit from the fast C++ function for computing an Euclidean Minimum
Spanning Tree without touching the C++ code. The package also provides
functions and an S3 method for readily plotting the Minimum Spanning Trees
(MST) using either 'base' R, 'scatterplot3d' or 'ggplot2' style.
Rcpp (>= 0.12.18), RcppMLPACK, scatterplot3d, ggplot2, BBmisc
Allan Quadros [aut, cre],
Andre Cancado [aut],
Pedro Brom [aut],
Eduardo Hellas [aut]

c(
person(given="Allan", family="Quadros", email = "allanvcq@gmail.com",
role = c("aut", "cre")),
person(given="Andre", family="Cancado", email = "cancado@unb.br",
role = c("ctb"))
)
Computes Euclidean Minimum Spanning Trees (EMST) using the Dual-Tree
Boruvka algorithm (March, Ram, Gray, 2010, <doi:10.1145/1835804.1835882>)
implemented in 'mlpack' - the C++ Machine Learning library (Curtin, 2005,
<doi:10.21105/joss.00726>). 'emstreeR' heavily relies on 'RcppMLPACK' and
'Rcpp' to work as a wrapper, so that R users have access to the C++ fast EMST
algorithm without having to deal with the R-'Rcpp'-C++ integration. The package
also provides functions and an S3 method for readily plotting the Minimum
Spanning Trees (MST) using either 'base' R, 'scatterplot3d' or 'ggplot2'
style.
Allan Quadros [aut, cre],
Andre Cancado [ctb]

Tools for Fast Computing and Plotting Euclidean Minimum Spanning
Trees
Computes Euclidean Minimum Spanning Trees (EMST) using the fast
Dual-Tree Boruvka algorithm (March, Ram, Gray, 2010,
<doi:10.1145/1835804.1835882>) implemented in 'mlpack' - the C++ Machine
Learning library (Curtin et al., 2013). 'emstreeR' heavily relies on
'RcppMLPACK' and 'Rcpp', working as a wrapper to the C++ fast EMST
algorithm. Thus, R users do not have to deal with the R-'Rcpp'-C++
integration. The package also provides functions and an S3 method for
readily plotting Minimum Spanning Trees (MST) using either 'base' R,
'scatterplot3d' or 'ggplot2' style.