Provide step by step guided tours of 'Shiny' applications.

c(
person(given = "John",
family = "Coene",
role = c("aut", "cre"),
email = "jcoenep@gmail.com",
comment = c(ORCID = "0000-0002-6637-4107")),
person(given = "Etienne",
family = "Bacher",
role = "ctb",
email = "etienne.bacher@protonmail.com")
)
John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>),
Etienne Bacher [ctb]

Set of forecasting tools to predict ICU beds using a Vector Error Correction model with a single cointegrating vector. Method described in  Berta, P. Lovaglio, P.G. Paruolo, P. Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand" Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, Department of Economics, University of York, <https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2020/2016.pdf>.
c(
person("Paolo","Berta",email="paolo.berta@unimib.it", role=c("aut")),
person("Paolo","Paruolo",email="Paolo.PARUOLO@ec.europa.eu", role=c("aut", "cre"),comment=c(ORCID = "0000-0002-3982-4889")),
person("Stefano","Verzillo",email="Stefano.VERZILLO@ec.europa.eu", role=c("ctb")),
person("Pietro Giorgio","Lovaglio",email="piergiorgio.lovaglio@unimib.it", role=c("ctb"))
)
Paolo Berta [aut],
Paolo Paruolo [aut, cre] (<https://orcid.org/0000-0002-3982-4889>),
Stefano Verzillo [ctb],
Pietro Giorgio Lovaglio [ctb]

Toolbox for Connectivity Informatics Technology Initiative
('CIFTI') Files
Functions for the input/output and visualization of
medical imaging data in the form of 'CIFTI' files
<https://www.nitrc.org/projects/cifti/>.
xml2, base64enc, rgl, oro.nifti, gifti, utils

person(given = "John", family = "Muschelli",
role = c("aut", "cre"), email = "muschellij2@gmail.com")
covr, knitr, rmarkdown, rgl, matrixStats

Tools for Reading and Visualizing CIFTI Brain Files
c(
person(given = "Amanda",
family = "Mejia",
email = "mandy.mejia@gmail.com",
role = c("aut", "cre")),
person(given = "Damon",
family = "Pham",
email = "damondpham@gmail.com",
role = c("ctb"),
comment = c(ORCID = "0000-0001-7563-4727")))
CIFTI files contain brain imaging data in "gray-ordinates", which
represent the gray matter as cortical surface vertices (left and right) and
subcortical voxels (cerebellum, basal ganglia, and other deep gray matter).
'ciftiTools' uses the Connectome Workbench to read CIFTI files into R and
apply common pre-processing steps (e.g. smoothing, resampling). It also
provides tools for visualizing the cortical surface with GIFTI files, and
for visualizing the subcortical volume.
gifti (> 0.7.5), grDevices, oro.nifti, RNifti, RColorBrewer,
xml2
fields, ggplot2, ggpubr, knitr, rmarkdown, papayar, rgl,
testthat (>= 2.1.0), covr
Amanda Mejia [aut, cre],
Damon Pham [ctb] (<https://orcid.org/0000-0001-7563-4727>)