Balík: r-cran-mice (3.13.0-2)

[ Zdroj: r-cran-mice  ]

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.

Ostatné balíky súvisiace s balíkom r-cran-mice

• dep: libc6 (>= 2.17)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  podporná knižnica GCC

• dep: libstdc++6 (>= 5.2)

  štandardná knižnica C++ GNU v3

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-base-core (>= 4.0.3-1)

  jadro GNU R na štatistické výpočty a grafický systém

• dep: r-cran-broom

  convert statistical analysis objects into tidy data frames with GNU R

• dep: r-cran-cpp11

  C++11 interface for GNU R's C interface

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-generics

  GNU R common S3 generics not provided by base R methods

• dep: r-cran-lattice

  balík GNU R pre grafiku „Trellis“

• dep: r-cran-rcpp

  balík GNU R na hladkú integráciu R a C++

• dep: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• dep: r-cran-tidyr

  GNU R package to easily tidy data

• rec: r-cran-boot

  balík GNU R funkcií na bootstrapping podľa Davisona a Hinkleyho

• rec: r-cran-broom.mixed

  GNU R tidying methods for mixed models

• rec: r-cran-clipr

  Read and Write from the System Clipboard

• rec: r-cran-forcats

  GNU R package for working with categorical variables (factors)

• rec: r-cran-haven

  GNU R package to import/export SPSS, Stata and SAS files

• rec: r-cran-hms

  GNU R pretty time of day

• rec: r-cran-hsaur3

  Handbook of Statistical Analyses Using R (3rd Edition)

• rec: r-cran-jomo

  GNU R multilevel joint modelling multiple imputation

• rec: r-cran-lme4

  GNU R - balík na hľadanie modelov lineárnych zmiešaných účinkov

• rec: r-cran-lmtest

  balík GNU R na diagnostickú kontrolu v lineárnych modeloch

• rec: r-cran-mass

  balík MASS pre GNU R od Venable a Ripley

• rec: r-cran-matrix

  balík tried GNU R pre husté a riedke matice

• rec: r-cran-metafor

  Meta-Analysis Package for R

• rec: r-cran-minqa

  balík GNU na kvadratickú optimalizáciu bez derivácií

• rec: r-cran-mitml

  GNU R tools for multiple imputation in multilevel modeling

• rec: r-cran-nloptr

  balík GNU R s rozhraním k NLopt

• rec: r-cran-nnet

  balík GNU R pre dopredné neurónové siete

• rec: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• rec: r-cran-ordinal

  GNU R regression models for ordinal data

• rec: r-cran-pan

  GNU R multiple imputation for multivariate panel or clustered data

• rec: r-cran-rcppeigen

  balík GNU R lineárnej algebry s šablónami Eigen

• rec: r-cran-readr

  GNU R package to read rectangular text data

• rec: r-cran-survival

  balík GNU R na analýzu prežitia

• rec: r-cran-testthat

  GNU R testsuite

• rec: r-cran-ucminf

  GNU R general-purpose unconstrained non-linear optimization

• sug: r-cran-knitr

  balík GNU R na dynamickú tvorbu zostáv pomocou Literate Programming

• sug: r-cran-randomforest

  GNU R package implementing the random forest classificator

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-rpart

  balík GNU R na rekurzívne rozhodovacie a regresné stromy

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