mi: Missing Data Imputation and Model Checking

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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.

Author
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]
Date of publication
2015-04-16 19:53:48
Maintainer
Ben Goodrich <benjamin.goodrich@columbia.edu>
License
GPL (>= 2)
Version
1.0
URLs

View on CRAN

Man pages

00mi-package
Iterative Multiple Imputation from Conditional Distributions
01missing_variable
Class "missing_variable" and Inherited Classes
02missing_data.frame
Class "missing_data.frame"
03change
Make Changes to Discretionary Characteristics of Missing...
04mi
Multiple Imputation
05Rhats
Convergence Diagnostics
06pool
Estimate a Model Pooling Over the Imputed Datasets
07complete
Extract the Completed Data
allcategorical_missing_data.frame
Class "allcategorical_missing_data.frame"
bounded
Class "bounded-continuous"
categorical
Class "categorical" and Inherited Classes
censored-continuous
The "censored-continuous" Class, the "truncated-continuous"...
CHAIN
Subset of variables from the CHAIN project
continuous
Class "continuous"
count
Class "count"
experiment_missing_data.frame
Class "experiment_missing_data.frame"
fit_model
Wrappers To Fit a Model
get_parameters
An Extractor Function for Model Parameters
hist
Histograms of Multiply Imputed Data
irrelevant
Class "irrelevant" and Inherited Classes
mi2stata
Exports completed data in Stata (.dta) or comma-separated...
mi-internal
Internal Functions and Methods
mipply
Apply a Function to a Object of Class mi
multilevel_missing_data.frame
Class "multilevel_missing_data.frame"
multinomial
The multinomial family
nlsyV
National Longitudinal Survey of Youth Extract
positive
Class "positive-continuous" and Inherited Classes
rdata.frame
Generate a random data.frame with tunable characteristics
semi-continuous
Class "semi-continuous" and Inherited Classes

Files in this package

mi
mi/inst
mi/inst/CITATION
mi/inst/doc
mi/inst/doc/mi_vignette.pdf
mi/inst/doc/mi_vignette.Rmd
mi/inst/doc/mi_vignette.R
mi/tests
mi/tests/missing_variable.R
mi/tests/missing_data.frame.R
mi/NAMESPACE
mi/data
mi/data/nlsyV.RData
mi/data/CHAIN.RData
mi/R
mi/R/change_link.R
mi/R/change_imputation_method.R
mi/R/debug.R
mi/R/mi.R
mi/R/AllClass.R
mi/R/sysdata.rda
mi/R/convenience.R
mi/R/plot_methods.R
mi/R/get_parameters.R
mi/R/missing_variable.R
mi/R/random_df.R
mi/R/change_size.R
mi/R/change.R
mi/R/change_type.R
mi/R/change_model.R
mi/R/tobin5.R
mi/R/fit_model.R
mi/R/pool.R
mi/R/change_family.R
mi/R/AllGeneric.R
mi/R/change_transformation.R
mi/R/missing_data.frame.R
mi/R/misc.R
mi/R/complete.R
mi/R/hist_methods.R
mi/R/zzz.R
mi/vignettes
mi/vignettes/mi_vignette.Rmd
mi/MD5
mi/build
mi/build/vignette.rds
mi/build/partial.rdb
mi/DESCRIPTION
mi/man
mi/man/censored-continuous.Rd
mi/man/mi2stata.Rd
mi/man/00mi-package.Rd
mi/man/03change.Rd
mi/man/04mi.Rd
mi/man/06pool.Rd
mi/man/continuous.Rd
mi/man/nlsyV.Rd
mi/man/07complete.Rd
mi/man/mi-internal.Rd
mi/man/CHAIN.Rd
mi/man/categorical.Rd
mi/man/rdata.frame.Rd
mi/man/positive.Rd
mi/man/semi-continuous.Rd
mi/man/irrelevant.Rd
mi/man/fit_model.Rd
mi/man/05Rhats.Rd
mi/man/hist.Rd
mi/man/mipply.Rd
mi/man/01missing_variable.Rd
mi/man/bounded.Rd
mi/man/multilevel_missing_data.frame.Rd
mi/man/allcategorical_missing_data.frame.Rd
mi/man/count.Rd
mi/man/02missing_data.frame.Rd
mi/man/get_parameters.Rd
mi/man/multinomial.Rd
mi/man/experiment_missing_data.frame.Rd