The package allows geometric objects defined in geozoo to
be displayed in GGobi through the use of rggobi.
Barret Scloerke <bigbear@iastate.edu>, with contributions from
Dianne Cook <dicook@iastate.edu> and Hadley Wickham
<h.wickham@gmail.com>.

The package allows geometric objects defined in geozoo to be
displayed in the R package tourr
Barret Scloerke <schloerke@gmail.com>, with contributions from Dianne
Cook <dicook@iastate.edu> and Hadley Wickham <h.wickham@gmail.com>.
'cross.polytope.r' 'cube.r' 'mobius.r' 'parametric.r'
'print.r' 'simplex.r' 'sphere.r' 'torus.r' 'xml.r'

Geometric objects defined in geozoo can be simulated or displayed in the R package tourr.
c(
person("Barret", "Schloerke", role = c("aut", "cre"), email = "schloerke@gmail.com"),
person("Di", "Cook", role = "ths", email = "dicook@monash.edu"),
person("Hadley", "Wickham", role = "ths", email = "h.wickham@gmail.com")
)
Barret Schloerke [aut, cre],
Di Cook [ths],
Hadley Wickham [ths]

Geometric objects defined in 'geozoo' can be simulated or displayed in the R package 'tourr'.

Google Encoded Polyline Algorithm Format
c(person("Matthieu", "Viry", email = "matthieu.viry@ums-riate.fr",role = c("aut")),person("Timothée", "Giraud", email = "timothee.giraud@ums-riate.fr", role = c("ctb","cre")))
Encode and decode the Google Encoded Polyline Algorithm Format (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Matthieu Viry [aut],
Timothée Giraud [ctb, cre]

c(person("Matthieu", "Viry", email = "matthieu.viry@cnrs.fr",role = c("aut")),person("Timothée", "Giraud", email = "timothee.giraud@cnrs.fr", role = c("ctb","cre")))

Generalized Efficient Regression-Based Imputation with Latent
Processes
c(person(given = "Michael",
family = "Robbins",
role = c("aut", "cre"),
email = "mrobbins@rand.org"),
person(given = "Max",
family = "Griswold",
role = "ctb",
email = "griswold@rand.org"),
person(given = "Pedro",
family = "Nascimento de Lima",
role = "ctb",
email = "plima@rand.org"))
Michael Robbins [aut, cre],
Max Griswold [ctb],
Pedro Nascimento de Lima [ctb]
Implements a new multiple imputation method that draws
imputations from a latent joint multivariate normal model which
underpins generally structured data. This model is constructed using a
sequence of flexible conditional linear models that enables the
resulting procedure to be efficiently implemented on high dimensional
datasets in practice.
base, DescTools, graphics, grDevices, lattice, MASS, mvtnorm,
openxlsx, parallel, pbapply, stats, truncnorm, utils
dplyr, knitr, mice, rmarkdown, testthat (>= 2.1.0)