Multiple imputation of missing data present in a dataset through the prediction based on either a random forest or a multinomial regression model. Covariates and time-dependant covariates can be included in the model. The prediction of the missing values is based on the method of Halpin (2012) <https://ulir.ul.ie/handle/10344/3639>.
| Version: |
1.7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Amelia, rms, stringr, TraMineR, cluster, swfscMisc, plyr, dplyr, dfidx, mice, foreach, parallel, doRNG, doSNOW, ranger, mlr, nnet |
| Published: |
2022-09-08 |
| Author: |
Andre Berchtold [aut, cre],
Anthony Guinchard [aut],
Kevin Emery [aut],
Kamyar Taher [aut] |
| Maintainer: |
Andre Berchtold <andre.berchtold at unil.ch> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
seqimpute results |