c(
person("Oscar", "Lado-Baleato",email="oscarlado.baleato@usc.es", role =c("cre","aut")),
person("Javier", "Roca-Pardinas", email="roca@uvigo.es", role =c("aut", "ctb")),
person("Carmen", "Cadarso-Suarez",email="carmen.cadarso@usc.es", role = c("aut", "ths")),
person("Gude","Francisco",email="francisco.gude.sampedro@sergas.es", role = c("aut", "ths"))
)
An R package for estimating conditional multivariate reference regions.
The reference region is non parametrically estimated using a kernel density estimator.
Covariates effects on the multivariate response means vector and variance-covariance
matrix, thus on the region shape, are estimated by flexible additive predictors.
Continuous covariates non linear effects might be estimated using penalized splines smoothers.
Confidence intervals for the covariates estimated effects might be derived from
bootstrap resampling. Kernel density bandwidth can be estimated with different methods, including
a method that optimize the region coverage. Numerical, and graphical, summaries
can be obtained by the user in order to evaluate reference region performance with real data.
Full mathematical details can be found in <doi:10.1002/sim.9163> and <doi:10.1007/s00477-020-01901-1>.
Oscar Lado-Baleato [cre, aut],
Javier Roca-Pardinas [aut, ctb],
Carmen Cadarso-Suarez [aut, ths],
Gude Francisco [aut, ths]

Work with Refreshable Datasets that Update their Data
Automatically
Connects dataframes/tables with a remote data source. Raw data downloaded
from the data source can be further processed and transformed using data preparation
code that is also baked into the dataframe/table. Refreshable dataframes can
be shared easily (e.g. as R data files). Their users do not need to care about
the inner workings of the data update mechanisms.
person("Joachim", "Zuckarelli", role = c("aut", "cre"), email = "joachim@zuckarelli.de", comment = c(ORCID="0000-0002-9280-3016"))

Provides subsets with reference semantics, i.e. subsets
which automatically reflect changes in the original object, and which
optionally update the original object when they are changed.