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: knitr, rmarkdown, testthat (>= 3.0.0), WeightedCluster
VignetteBuilder: knitr
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
Config/pak/sysreqs: cmake libgdal-dev gdal-bin libgeos-dev
        libglu1-mesa-dev libgmp3-dev make libgsl0-dev jags libicu-dev
        libuv1-dev libxml2-dev libmpfr-dev libopenmpi-dev libproj-dev
        libx11-dev zlib1g-dev
Repository: https://emerykevin.r-universe.dev
Date/Publication: 2026-01-20 08:00:08 UTC
RemoteUrl: https://github.com/emerykevin/seqimpute
RemoteRef: HEAD
RemoteSha: 8a78cd783b9b9d1571482ce32dca7dc11c48c1d4
NeedsCompilation: no
Packaged: 2026-06-19 08:55:45 UTC; root
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)