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Paket: r-cran-mice (3.8.0-1)

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.

r-cran-mice ile İlgili Diğer Paketler

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  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
    dep: libc6 (>= 2.4) [armhf]
  • dep: libgcc-s1 (>= 3.0) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-3.5
    sanal paketi sağlayan r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-broom
    convert statistical analysis objects into tidy data frames with GNU R
  • dep: r-cran-dplyr
    GNU R grammar of data manipulation
  • dep: r-cran-lattice
    GNU R package for 'Trellis' graphics
  • dep: r-cran-rcpp
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-tidyr
    GNU R package to easily tidy data
  • sug: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • sug: r-cran-lme4
    GNU R package for linear mixed effects model fitting
  • sug: r-cran-mass
    GNU R package of Venables and Ripley's MASS
  • sug: r-cran-mitml
    GNU R tools for multiple imputation in multilevel modeling
  • sug: r-cran-nnet
    GNU R package for feed-forward neural networks
  • sug: r-cran-pan
    GNU R multiple imputation for multivariate panel or clustered data
  • sug: r-cran-randomforest
    GNU R package implementing the random forest classificator
  • sug: r-cran-rmarkdown
    convert R markdown documents into a variety of formats
  • sug: r-cran-rpart
    GNU R package for recursive partitioning and regression trees
  • sug: r-cran-survival
    GNU R package for survival analysis

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Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
amd64 1.252,5 kB1501 kB [dosya listesi]
armhf 1.247,4 kB1471 kB [dosya listesi]