knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" ) options(width = 60, digits = 3)
The mice
package
creates multiple imputations (replacement values) for multivariate
missing data.
The DataSHIELD
framework is a
platform for federated data analysis that brings the algorithm to
the data.
The dsMiceClient
package is an
add-on to mice
that makes multiple imputation available for federated data systems.
This is the package that the DataSHIELD
end user installs locally.
The dsMice
package is part of the
DataSHIELD
infrastructure. This is the package that the DataSHIELD
node
owner installs on the server.
The following code installs the dsMiceClient
package:
install.packages("devtools") devtools::install_github("stefvanbuuren/dsMiceClient")
In order to work well, the DataSHIELD
nodes should have installed the server site functions available from
dsMice
Warning: This is an experimental feature. These function do not yet actually work. If you have ideas about the integration of mice
and DataSHIELD
feel free to join in.
Related work appears in gflcampos/dsMice
and
gflcampos/dsMiceClient
.
Include minimal example here using public DataSHIELD nodes.
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