Paketti: r-cran-mice (3.8.0-1)
Links for r-cran-mice
Trisquel-palvelut:
Imuroi lähdekoodipaketti r-cran-mice:
Ylläpitäjä:
Original Maintainers:
- Debian R Packages Maintainers
- Andreas Tille
External Resources:
- Kotisivu [cran.r-project.org]
Samankaltaisia paketteja:
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.
Muut pakettiin r-cran-mice liittyvät paketit
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- dep: libc6 (>= 2.14)
- GNU C Library: Shared libraries
myös näennäispaketti, jonka toteuttaa libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: r-api-3.5
- näennäispaketti, jonka toteuttaa r-base-core
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- dep: r-base-core (>= 3.6.2.20200221-1)
- 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-dplyr
- GNU R grammar of data manipulation
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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-tidyr
- GNU R package to easily tidy data
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- rec: r-cran-hsaur3
- Handbook of Statistical Analyses Using R (3rd Edition)
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-lme4
- GNU R package for linear mixed effects model fitting
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- sug: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- sug: r-cran-mitml
- GNU R tools for multiple imputation in multilevel modeling
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- sug: r-cran-nnet
- GNU R package for feed-forward neural networks
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- sug: r-cran-pan
- GNU R multiple imputation for multivariate panel or clustered data
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- sug: r-cran-randomforest
- GNU R package implementing the random forest classificator
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-rpart
- GNU R package for recursive partitioning and regression trees
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- sug: r-cran-survival
- GNU R package for survival analysis
Imuroi r-cran-mice
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
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amd64 | 1,252.5 kt | 1501 kt | [tiedostoluettelo] |