Extension of R mice package adding new imputation methods that incorporate phylogenetic information.
You should be familiar with the mice package to use this one.
You can install the package using devtools:
devtools::install_github("simone66b/Phylomice/phylomice")
Imputes univariate continuous missing data using the generalized least square approach. It is based on the mice.impute.norm method in mice package.
library(phylomice)
imp <- mice(data, method = 'phnorm', tree=tree)
Uses predictive mean matching from the pGLS regression line, and biases selection towards more closely related species.
- Patrik Drhlik - Initial work - pdrhlik
- Simone P. Blomberg - Theoretical background
If you are interested in improving current or creating new imputation methods that use phylogenies, don't hesitate to contribute.
This project is licensed under the GPL-3 License.
This project wouldn't be possible without the following parties:
- The University of Queensland, Australia
- Technical University of Liberec, Czech Republic
- NESSIE Erasmus Mundus project