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mi (version 1.1)

Missing Data Imputation and Model Checking

Description

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.

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Version

Install

install.packages('mi')

Monthly Downloads

26,787

Version

1.1

License

GPL (>= 2)

Maintainer

Last Published

June 6th, 2022

Functions in mi (1.1)

02missing_data.frame

Class "missing_data.frame"
CHAIN

Subset of variables from the CHAIN project
07complete

Extract the Completed Data
05Rhats

Convergence Diagnostics
allcategorical_missing_data.frame

Class "allcategorical_missing_data.frame"
01missing_variable

Class "missing_variable" and Inherited Classes
06pool

Estimate a Model Pooling Over the Imputed Datasets
bounded-continuous-class

Class "bounded-continuous"
censored-continuous-class

The "censored-continuous" Class, the "truncated-continuous" Class and Inherited Classes
04mi

Multiple Imputation
00mi-package

Iterative Multiple Imputation from Conditional Distributions
03change

Make Changes to Discretionary Characteristics of Missing Variables
rdata.frame

Generate a random data.frame with tunable characteristics
categorical

Class "categorical" and Inherited Classes
positive-continuous-class

Class "positive-continuous" and Inherited Classes
mipply

Apply a Function to a Object of Class mi
mi-internal

Internal Functions and Methods
mi2stata

Exports completed data in Stata (.dta) or comma-separated (.csv) format
continuous

Class "continuous"
irrelevant

Class "irrelevant" and Inherited Classes
hist

Histograms of Multiply Imputed Data
count-class

Class "count"
experiment_missing_data.frame

Class "experiment_missing_data.frame"
semi-continuous-class

Class "semi-continuous" and Inherited Classes
fit_model

Wrappers To Fit a Model
multilevel_missing_data.frame

Class "multilevel_missing_data.frame"
multinomial

The multinomial family
get_parameters

An Extractor Function for Model Parameters
nlsyV

National Longitudinal Survey of Youth Extract