```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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