软件包:r-cran-amelia(1.8.2-1) [debports]
GNU R package supporting multiple imputation of missing data
Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements a bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables.
The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R.
其他与 r-cran-amelia 有关的软件包
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虚包由这些包填实: libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.4)
- 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
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- dep: libgcc-s1 (>= 3.4)
- GCC 支持库
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虚包由这些包填实: libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libstdc++6 (>= 13.1)
- GNU 标准 C++ 库,第3版
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- dep: r-api-4.0
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- dep: r-cran-foreign
- GNU R package to read/write data from other stat. systems
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- dep: r-cran-rcpp (>= 0.11)
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rcpparmadillo
- GNU R package for Armadillo C++ linear algebra library
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- dep: r-cran-rlang
- Functions for Base Types and Core R and 'Tidyverse' Features
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- rec: r-cran-broom
- convert statistical analysis objects into tidy data frames with GNU R
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- rec: r-cran-knitr
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- rec: r-cran-rmarkdown
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