Type: Package
Package: seqimpute
Title: Imputation of Missing Data in Sequence Analysis
Version: 2.0.0
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 present in a dataset
    through the prediction based on either a random forest or a
    multinomial regression model. Covariates and time-dependent 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
Imports: Amelia, cluster, dfidx, doRNG, doSNOW, dplyr, foreach,
        graphics, mlr, nnet, parallel, plyr, ranger, rms, stats,
        stringr, TraMineR, TraMineRextras, utils, mice
Suggests: R.rsp, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: R.rsp
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2024-03-25 21:03:27 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: 2024-03-27 13:00:02 UTC
Built: R 4.2.3; ; 2024-04-24 03:47:22 UTC; windows
