Package: seqimpute
Type: Package
Title: Imputation of Missing Data in Sequence Analysis
Version: 1.7
Authors@R: c(person("Andre","Berchtold",email="andre.berchtold@unil.ch",role=c("aut","cre")),person("Anthony","Guinchard",role="aut"),person("Kevin","Emery",role="aut"),person("Kamyar","Taher",role="aut"))
Date: 2022-09-06
Description: 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>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
Imports: Amelia, rms, stringr, TraMineR, cluster, swfscMisc, plyr,
        dplyr, dfidx, mice, foreach, parallel, doRNG, doSNOW, ranger,
        mlr, nnet
Author: Andre Berchtold [aut, cre],
  Anthony Guinchard [aut],
  Kevin Emery [aut],
  Kamyar Taher [aut]
Maintainer: Andre Berchtold <andre.berchtold@unil.ch>
Repository: CRAN
Repository/R-Forge/Project: seqimpute
Repository/R-Forge/Revision: 92
Repository/R-Forge/DateTimeStamp: 2022-09-06 06:53:41
Date/Publication: 2022-09-08 09:00:02 UTC
NeedsCompilation: no
Packaged: 2022-09-06 07:12:07 UTC; rforge
Depends: R (>= 3.5.0)
