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Amelia II

Amelia II is an R package for the multiple imputation of multivariate incomplete data. It uses an algorithm that combines bootstrapping and the EM algorithm to take draws from the posterior of the missing data. The Amelia package includes normalizing transformations, cell-level priors, and methods for handling time-series cross-sectional data.

How to install

Installation requirements

Amelia requires R version 2.14.0 or higher.

Manual installation

install.packages("Amelia")

Installing unstable developer version:

require(devtools)
install_github("IQSS/Amelia", ref = "develop")

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Version

Install

install.packages('Amelia')

Monthly Downloads

8,055

Version

1.7.5

License

GPL (>= 2)

Last Published

May 8th, 2018

Functions in Amelia (1.7.5)

amelia-package

Amelia II: A Program for Missing Data
summary.amelia

Summary of an Amelia object
transform.amelia

Transform imputed datasets from Amelia objects
missmap

Missingness Map
combine.output

Combine Multiple Amelia Output Lists
overimpute

Overimputation diagnostic plot
plot.amelia

Summary plots for Amelia objects
moPrep

Prepare Multiple Overimputation Settings
compare.density

Compare observed versus imputed densities
ameliabind

Combine multiple runs of Amelia
mi.meld

Combine Multiple Results From Multiply Imputed Datasets
disperse

Overdispersed starting values diagnostic for multiple imputation
africa

Economic and Political Indictors in 6 African States
freetrade

Trade Policy and Democracy in 9 Asian States
amelia

AMELIA: Multiple Imputation of Incomplete Multivariate Data
AmeliaView

Interactive GUI for Amelia
write.amelia

Write Amelia imputations to file
tscsPlot

Plot observed and imputed time-series for a single cross-section