Type: Package
Package: seqimpute
Title: Imputation of Missing Data in Sequence Analysis
Version: 2.2.1
Authors@R: c(
    person("Kevin", "Emery", , "kevin.emery@unige.ch", role = c("aut", "cre")),
    person("Anthony", "Guinchard", role = "aut"),
    person("Andre", "Berchtold", role = "aut"),
    person("Kamyar", "Taher", role = "aut")
  )
Description: Multiple imputation of missing data in a dataset using MICT or 
    MICT-timing methods. The core idea of the algorithms is to fill gaps of 
    missing data, which is the typical form of missing data in a longitudinal 
    setting, recursively from their edges. Prediction is based on either a 
    multinomial or random forest regression model. Covariates and 
    time-dependent covariates can be included in the model.
License: GPL-2
Imports: Amelia, cluster, dfidx, doRNG, doSNOW, dplyr, foreach,
        graphics, mlr, nnet, parallel, plyr, ranger, rms, stats,
        stringr, TraMineR, TraMineRextras, utils, mice, parallelly
Suggests: R.rsp, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: R.rsp
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/emerykevin/seqimpute
BugReports: https://github.com/emerykevin/seqimpute/issues
NeedsCompilation: no
Packaged: 2026-01-20 16:36:07 UTC; Kevin
Author: Kevin Emery [aut, cre],
  Anthony Guinchard [aut],
  Andre Berchtold [aut],
  Kamyar Taher [aut]
Maintainer: Kevin Emery <kevin.emery@unige.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-01-20 17:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 21:37:27 UTC; unix
