[ 源代码： r-cran-mice ]
软件包：r-cran-mice（3.15.0-1）
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.
其他与 r-cran-mice 有关的软件包
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- dep: libc6 (>= 2.14) [amd64]
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
- dep: libc6 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.4) [除 amd64, arm64, ppc64el]
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- dep: libgcc-s1 (>= 3.0) [除 armel, armhf]
- GCC 支持库
- dep: libgcc-s1 (>= 3.5) [armel, armhf]
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- dep: libstdc++6 (>= 5.2)
- GNU 标准 C++ 库，第3版
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- dep: r-api-4.0
- 本虚包由这些包填实： r-base-core
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- dep: r-base-core (>= 4.2.2.20221110-1)
- 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-lattice
- GNU R package for 'Trellis' graphics
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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-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-glmnet
- Lasso and Elastic-Net Regularized Generalized Linear Models
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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-mitml
- GNU R tools for multiple imputation in multilevel modeling
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- rec: r-cran-nnet
- GNU R package for feed-forward neural networks
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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-rpart
- GNU R package for recursive partitioning and regression trees
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- rec: r-cran-rstan [除 mipsel]
- 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
下载 r-cran-mice
| 硬件架构 | 软件包大小 | 安装后大小 | 文件 |
|---|---|---|---|
| amd64 | 1,416.5 kB | 1,712.0 kB | [文件列表] |
| arm64 | 1,411.1 kB | 1,716.0 kB | [文件列表] |
| armel | 1,411.1 kB | 1,715.0 kB | [文件列表] |
| armhf | 1,410.7 kB | 1,715.0 kB | [文件列表] |
| i386 | 1,415.6 kB | 1,710.0 kB | [文件列表] |
| mips64el | 1,410.2 kB | 1,788.0 kB | [文件列表] |
| mipsel | 1,409.0 kB | 1,719.0 kB | [文件列表] |
| ppc64el | 1,415.9 kB | 1,780.0 kB | [文件列表] |
| s390x | 1,414.1 kB | 1,716.0 kB | [文件列表] |