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Пакет: r-cran-mice (3.8.0-1)

Връзки за r-cran-mice

r-cran-mice

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Изтегляне на пакет-източник r-cran-mice.

Отговорник:

Original Maintainers:

  • Debian R Packages Maintainers
  • Andreas Tille

Външни препратки:

Подобни пакети:

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.

Други пакети, свързани с r-cran-mice

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    виртуален пакет, предлаган от r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1)
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  • dep: r-cran-broom
    convert statistical analysis objects into tidy data frames with GNU R
  • dep: r-cran-dplyr
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  • dep: r-cran-lattice
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  • 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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