Paket: r-cran-mice (3.16.0-1)

[ Kaynak: 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.

r-cran-mice ile İlgili Diğer Paketler

• dep: libc6 (>= 2.17)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC support library

• dep: libstdc++6 (>= 5.2)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-base-core (>= 4.3.1-1)

  GNU R core of statistical computation and graphics system

• 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-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• dep: r-cran-lattice

  GNU R package for 'Trellis' graphics

• dep: r-cran-mitml

  GNU R tools for multiple imputation in multilevel modeling

• dep: r-cran-nnet

  GNU R package for feed-forward neural networks

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rlang

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

• dep: r-cran-rpart

  GNU R package for recursive partitioning and regression trees

• dep: r-cran-tidyr

  GNU R package to easily tidy data

• rec: r-cran-broom.mixed

  GNU R tidying methods for mixed models

• rec: r-cran-decor

  GNU R retrieve code decorations

• rec: r-cran-furrr

  GNU R apply mapping functions in parallel using futures

• rec: r-cran-future

  R package: A Future API for R

• rec: r-cran-haven

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

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-lmtest

  GNU R package for diagnostic checking in linear models

• rec: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• rec: r-cran-metafor

  Meta-Analysis Package for R

• rec: r-cran-pan

  GNU R multiple imputation for multivariate panel or clustered data

• rec: r-cran-parallelly

  GNU R enhancing the 'parallel' package

• rec: r-cran-purrr

  GNU R functional programming tools

• rec: r-cran-randomforest

  GNU R package implementing the random forest classificator

• rec: r-cran-ranger

  Fast Implementation of Random Forests

• rec: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• rec: r-cran-rstan

  GNU R interface to Stan

• rec: r-cran-survival

  GNU R package for survival analysis

• rec: r-cran-testthat

  GNU R testsuite

r-cran-mice indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
ppc64el	1.467,2 kB	1.889,0 kB	[dosya listesi]