Artifact r-cran-mice_3.16.0-1_amd64

Metadata
deb_control_files:
- control
- md5sums
deb_fields:
  Architecture: amd64
  Depends: r-base-core (>= 4.3.1-1), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-generics,
    r-cran-glmnet, r-cran-lattice, r-cran-mitml, r-cran-nnet, r-cran-rcpp, r-cran-rpart,
    r-cran-rlang, r-cran-tidyr, r-cran-cpp11, libc6 (>= 2.14), libgcc-s1 (>= 3.0),
    libstdc++6 (>= 5.2)
  Description: |-
    GNU R multivariate imputation by chained equations
     Multiple imputation using Fully Conditional Specification (FCS)
     implemented by the MICE algorithm as described in Van Buuren and
     Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has
     its own imputation model. Built-in imputation models are provided for
     continuous data (predictive mean matching, normal), binary data (logistic
     regression), unordered categorical data (polytomous logistic regression)
     and ordered categorical data (proportional odds). MICE can also impute
     continuous two-level data (normal model, pan, second-level variables).
     Passive imputation can be used to maintain consistency between variables.
     Various diagnostic plots are available to inspect the quality of the
     imputations.
  Homepage: https://cran.r-project.org/package=mice
  Installed-Size: '1821'
  Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
  Package: r-cran-mice
  Priority: optional
  Recommends: r-cran-broom.mixed, r-cran-decor, r-cran-future, r-cran-furrr, r-cran-haven,
    r-cran-knitr, r-cran-lme4, r-cran-lmtest, r-cran-mass, r-cran-metafor, r-cran-pan,
    r-cran-parallelly, r-cran-purrr, r-cran-randomforest, r-cran-ranger, r-cran-rmarkdown,
    r-cran-rstan, r-cran-survival, r-cran-testthat
  Section: gnu-r
  Version: 3.16.0-1
srcpkg_name: r-cran-mice
srcpkg_version: 3.16.0-1

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