Epimed Solutions Collection for Data Editing, Analysis, and
Benchmarking of Health Units
c(person("Lunna", "Borges", role = c("aut"),
email = "lunna.borges@epimedsolutions.com"),
person("Pedro", "Brasil", role = c("aut", "cre"),
email = "pedro.brasil@epimedsolutions.com"))
Collection of functions for data analysis and
editing. Most of them are related to benchmarking with prediction models.
Lunna Borges [aut],
Pedro Brasil [aut, cre]

Collection of functions for data analysis and
editing of clinical and epidemiological data.
Most of them are related to benchmarking with prediction models.

Epimed Solutions Collection for Data Editing, Analysis, and
Benchmark of Health Units
c(person("Lunna", "Borges", role = c("aut","cre"),
email = "lunna.borges@epimedsolutions.com"),
person("Pedro", "Brasil", role = c("aut"),
email = "pedro.brasil@epimedsolutions.com"),
person("Camila", "Cardoso", role = c("aut"),
email = "camila.cardoso@epimedsolutions.com"),
person("Caio", "Ferreira", role = c("aut"),
email = "caio.ferreira@epimedsolutions.com"))
Collection of functions for data analysis and
editing of clinical and epidemiological data.
Most of them are related to benchmark with prediction models.
Lunna Borges [aut, cre],
Pedro Brasil [aut],
Camila Cardoso [aut],
Caio Ferreira [aut]

c(person("Lunna", "Borges", role = c("aut","cre"),
email = "lunna.borges@epimedsolutions.com"),
person("Pedro", "Brasil", role = c("aut"),
email = "pedro.brasil@epimedsolutions.com"),
person("Camila", "Cardoso", role = c("aut"),
email = "camila.cardoso@epimedsolutions.com"))
Lunna Borges [aut, cre],
Pedro Brasil [aut],
Camila Cardoso [aut]

c(person("Lunna", "Borges", role = c("aut","cre"),
email = "lunna.borges@epimedsolutions.com"))
Collection of functions related to benchmark with prediction models
for data analysis and editing of clinical and epidemiological data.

Fast Computing Euclidean Minimum Spanning Trees
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")),
person(given="Pedro", family="Brom", email = "pcbrom@gmail.com",
role = c("ctb")),
person(given="Eduardo", family="Hellas", email = "ehellas@gmail.com",
role = c("ctb"))
)
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), scatterplot3d, ggplot2, BBmisc
Allan Quadros [aut, cre],
Andre Cancado [ctb],
Pedro Brom [ctb],
Eduardo Hellas [ctb]