CRAN/E | mi

mi

Missing Data Imputation and Model Checking

Installation

About

The mi package provides functions for data manipulation, imputing missing values in an approximate Bayesian framework, diagnostics of the models used to generate the imputations, confidence-building mechanisms to validate some of the assumptions of the imputation algorithm, and functions to analyze multiply imputed data sets with the appropriate degree of sampling uncertainty.

Citation mi citation info
www.stat.columbia.edu/~gelman/

Key Metrics

Version 1.1
R ≥ 3.0.0
Published 2022-06-06 690 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks mi results

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Maintainer

Maintainer

Ben Goodrich

benjamin.goodrich@columbia.edu

Authors

Andrew Gelman

ctb

Jennifer Hill

ctb

Yu-Sung Su

aut

Masanao Yajima

ctb

Maria Pittau

ctb

Ben Goodrich

cre / aut

Yajuan Si

ctb

Jon Kropko

aut

Material

Reference manual
Package source

In Views

MissingData

Vignettes

An Example of mi Usage

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

mi archive

Depends

R ≥ 3.0.0
methods
Matrix
stats4

Imports

arm ≥ 1.4-11

Suggests

betareg
lattice
knitr
MASS
nnet
parallel
sn
survival
truncnorm
foreign

Reverse Imports

migui
missCompare
sem