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The diseasystore
package provides feature stores
implemented in R specifically designed for serve disease data for
epidemic preparedness.
What makes a diseasystore
special, is that features can
be automatically coupled and stratified within the
diseasystore
package. Consult the Quick start vignette to
see it in action
(vignette("quick-start", package = "diseasystore")
).
The package forms the data-backbone of the {diseasy}
package.
Different data sources are handled by individual
diseasystores
which each facilitate access to the relevant
disease data for the given data source.
Data for different diseases will typically be structured in different
ways. The diseasystore
package currently implements the
Google Health COVID-19 Open Repository with more
diseasystores
on the way.
The diseasystore
package is designed to handle both
individual-level data (examples to come) and semi-aggregated (typically
publicly available) data.
If the data is at the individual-level, the feature store is fully dynamic and can adapt to (virtually) any stratification that the user specifies. If the data conversely is semi-aggregated, the data can only be stratified at the levels of the semi-aggregation (or at higher levels).
# Install diseasystore from CRAN:
install.packages("diseasystore")
# Alternatively, install the development version from github:
# install.packages("devtools")
::install_github("ssi-dk/diseasystore") devtools
For basic usage examples, see
vignette("diseasystore")
.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.