CRAN/E | micemd

micemd

Multiple Imputation by Chained Equations with Multilevel Data

Installation

About

Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods dedicated to sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2018) doi:10.1214/18-STS646, the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation and overimputation for 'mice'.

Key Metrics

Version 1.10.0
R ≥ 3.5.0
Published 2023-11-17 163 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks micemd results

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Maintainer

Maintainer

Vincent Audigier

vincent.audigier@cnam.fr

Authors

Vincent Audigier

aut / cre

(CNAM MSDMA team)

Matthieu Resche-Rigon

aut

(INSERM ECSTRA team)

Johanna Munoz Avila

ctb

(Julius Center Methods Group UMC, 2022)

Material

Reference manual
Package source

In Views

MissingData

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

micemd archive

Depends

R ≥ 3.5.0
mice ≥ 2.42

Imports

Matrix
graphics
utils
stats
MASS
parallel
nlme
lme4
mvmeta ≥ 0.4.7
jomo ≥ 2.6-3
mvtnorm
digest
abind
GJRM ≥ 0.2-6.4
mgcv
mixmeta
pbivnorm

Suggests

VIM
ggplot2
data.table
broom.mixed

Reverse Suggests

bipd

Reverse Enhances

miceadds