Package: seqimpute
Type: Package
Title: Imputation of Missing Data in Sequence Analysis
Version: 1.8
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: 2022-11-07
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://researchrepository.ul.ie/articles/report/Multiple_imputation_for_life-course_sequence_data/19839736>.
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: 101
Repository/R-Forge/DateTimeStamp: 2022-11-07 11:20:38
Date/Publication: 2022-11-07 13:10:02 UTC
NeedsCompilation: no
Packaged: 2022-11-07 11:32:07 UTC; rforge
Depends: R (>= 3.5.0)
Built: R 4.2.0; ; 2022-11-08 14:20:32 UTC; unix
