c(
person("Hadley", "Wickham", role = c("aut")),
person("Kirill", "Müller", , "krlmlr+r@mailbox.org", role = c("cre")),
person("RStudio", role = "cph")
)
Hadley Wickham [aut],
Kirill Müller [cre],
RStudio [cph]

R's raw vector is useful for storing a single binary object.
What if you want to put a vector of them in a data frame? The 'blob'
package provides the blob object, a list of raw vectors, suitable for
use as a column in data frame.

c(person(given = "Hadley",
family = "Wickham",
role = "aut"),
person(given = "Kirill",
family = "Müller",
role = "cre",
email = "krlmlr+r@mailbox.org"),
person(given = "RStudio",
role = "cph"))
R's raw vector is useful for storing a single
binary object.  What if you want to put a vector of them in a data
frame? The 'blob' package provides the blob object, a list of raw
vectors, suitable for use as a column in data frame.
methods, prettyunits, rlang, vctrs (>= 0.2.0)
covr, crayon, pillar (>= 1.2.1), testthat

c(
person("Hadley", "Wickham", role = "aut"),
person("Kirill", "Müller", , "krlmlr+r@mailbox.org", role = "cre"),
person("RStudio", role = c("cph", "fnd"))
)
Hadley Wickham [aut],
Kirill Müller [cre],
RStudio [cph, fnd]

Spatial and Environmental Blocking for K-Fold Cross-Validation
c(person("Roozbeh", "Valavi", role = c("aut", "cre"),
email = "valavi.r@gmail.com"),
person("Jane", "Elith", role = "aut",
email = "j.elith@unimelb.edu.au"),
person("José", "Lahoz-Monfort", role = "aut",
email = "jose.lahoz@unimelb.edu.au"),
person("Gurutzeta", "Guillera-Arroita", role = "aut",
email = "gurutzeta.guillera@unimelb.edu.au"))
Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
knitr, ggplot2 (>= 3.2.1), cowplot, automap (>= 1.0-14),
rgeos, future, future.apply, shiny (>= 1.0.3), shinydashboard,
geosphere, methods, rmarkdown, testthat, covr
Roozbeh Valavi [aut, cre],
Jane Elith [aut],
José Lahoz-Monfort [aut],
Gurutzeta Guillera-Arroita [aut]