```r knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" ) options(width = 60, digits = 3)
# dsMice ## Multivariate Imputation by Chained Equations for DataSHIELD - Server The [`mice`](https://github.com/stefvanbuuren/mice) package creates multiple imputations (replacement values) for multivariate missing data. The [`DataSHIELD`](https://github.com/datashield) framework is a platform for federated data analysis that brings the algorithm to the data. The [`dsMiceClient`](https://github.com/stefvanbuuren/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`](https://github.com/stefvanbuuren/dsMice) package is part of the `DataSHIELD` infrastructure. This is the package that the `DataSHIELD` node owner installs on the server. ## Installation The following code installs the `dsMice` package on the node server: ```r devtools::install_github("stefvanbuuren/dsMice")
In order to work well, the end user should that the
dsMiceClient
package
installed locally.
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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