套件：r-cran-amelia（1.7.5-1 以及其他的）
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.
其他與 r-cran-amelia 有關的套件
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, libblas3, libblis2-openmp, libblis2-pthread, libblis2-serial, libopenblas-base
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- dep: libc6 (>= 2.14) [amd64]
- 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
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.4) [armhf, i386]
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- dep: libgcc1 (>= 1:3.0) [除 armhf]
- GCC 支援函式庫
- dep: libgcc1 (>= 1:3.5) [armhf]
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- dep: libgfortran5 (>= 8)
- Runtime library for GNU Fortran applications
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實： libatlas3-base, liblapack3, libopenblas-base
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- dep: libquadmath0 (>= 4.6) [amd64, i386]
- GCC Quad-Precision Math Library
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: r-api-3.5
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 3.5.1-1)
- GNU R core of statistical computation and graphics system
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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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- sug: r-cran-zelig
- GNU R package providing a unified front-end for estimating statistical models