套件：r-cran-mice（3.16.0-1） [debports]
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.
其他與 r-cran-mice 有關的套件
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- dep: libc6 (>= 2.11)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc-s2 (>= 4.2.1)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.3.1-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-broom
- convert statistical analysis objects into tidy data frames with GNU R
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- dep: r-cran-cpp11
- C++11 interface for GNU R's C interface
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- dep: r-cran-dplyr
- GNU R grammar of data manipulation
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- dep: r-cran-generics
- GNU R common S3 generics not provided by base R methods
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- dep: r-cran-glmnet
- Lasso and Elastic-Net Regularized Generalized Linear Models
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- dep: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- dep: r-cran-mitml
- GNU R tools for multiple imputation in multilevel modeling
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- dep: r-cran-nnet
- GNU R package for feed-forward neural networks
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rlang
- Functions for Base Types and Core R and 'Tidyverse' Features
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- dep: r-cran-rpart
- GNU R package for recursive partitioning and regression trees
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- dep: r-cran-tidyr
- GNU R package to easily tidy data
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- rec: r-cran-broom.mixed
- GNU R tidying methods for mixed models
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- rec: r-cran-decor
- GNU R retrieve code decorations
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- rec: r-cran-furrr
- GNU R apply mapping functions in parallel using futures
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- rec: r-cran-future
- R package: A Future API for R
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- rec: r-cran-haven
- GNU R package to import/export SPSS, Stata and SAS files
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- rec: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- rec: r-cran-lme4
- GNU R package for linear mixed effects model fitting
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- rec: r-cran-lmtest
- GNU R package for diagnostic checking in linear models
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- rec: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- rec: r-cran-metafor
- Meta-Analysis Package for R
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- rec: r-cran-pan
- GNU R multiple imputation for multivariate panel or clustered data
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- rec: r-cran-parallelly
- GNU R enhancing the 'parallel' package
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- rec: r-cran-purrr
- GNU R functional programming tools
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- rec: r-cran-randomforest
- GNU R package implementing the random forest classificator
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- rec: r-cran-ranger
- Fast Implementation of Random Forests
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- rec: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- rec: r-cran-rstan
- GNU R interface to Stan
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- rec: r-cran-survival
- GNU R package for survival analysis
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- rec: r-cran-testthat
- GNU R testsuite