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mi
Missing Data Imputation and Model Checking
View on CRAN: Click
here
Download and install mi package within the R console
Install from CRAN:
install.packages("mi")
Install from Github:
library("remotes")
install_github("cran/mi") Install by package version:
library("remotes")
install_version("mi", "1.1") Attach the package and use:
library("mi")
Maintained by
Ben Goodrich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mi . mi citation info . mi results . mi.pdf . An Example of mi Usage . mi_1.1.tar.gz . mi_1.1.zip . mi_1.1.zip . mi_1.1.zip . mi_1.1.tgz . mi_1.1.tgz . mi_1.1.tgz . mi_1.1.tgz . mi_1.1.tgz . mi_1.1.tgz . mi archive . migui . missCompare . https://CRAN.R-project.org/package=mi .
First Published: 2008-10-07
Latest Update: 2022-06-06
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.
How to cite:
Ben Goodrich (2008). mi: Missing Data Imputation and Model Checking. R package version 1.1, https://cran.r-project.org/web/packages/mi. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.02-01 (2008-10-07 08:57), 0.02-02 (2008-10-07 20:20), 0.02-03 (2009-01-07 08:53), 0.04-2 (2009-03-06 12:52), 0.04-3 (2009-03-11 10:44), 0.04-4 (2009-03-11 21:15), 0.04-5 (2009-03-21 09:16), 0.04-6 (2009-04-01 19:01), 0.05-1 (2009-04-15 09:34), 0.06-1 (2009-04-17 19:35), 0.06-2 (2009-04-19 20:07), 0.06-4.01 (2009-04-21 08:57), 0.06-5 (2009-04-23 09:11), 0.07-1 (2009-04-29 19:56), 0.07-2 (2009-05-10 20:54), 0.07-3 (2009-06-10 10:29), 0.07-4 (2009-06-14 21:12), 0.08-01 (2009-06-17 10:01), 0.08-02 (2009-06-19 08:38), 0.08-03 (2009-06-23 19:52), 0.08-04.01 (2009-08-13 10:58), 0.08-04.02 (2009-10-01 21:54), 0.08-04.04 (2009-12-03 12:43), 0.08-04.06 (2009-12-09 09:53), 0.08-04.07 (2009-12-20 10:35), 0.08-04 (2009-07-24 08:06), 0.08-05 (2009-12-23 09:18), 0.08-06 (2010-01-01 18:51), 0.08-08.01 (2010-04-11 08:23), 0.08-08.02 (2010-04-13 09:14), 0.08-08 (2010-04-03 19:42), 0.09-01 (2010-04-15 20:38), 0.09-02 (2010-04-16 10:14), 0.09-04 (2010-05-09 17:28), 0.09-05 (2010-05-17 21:25), 0.09-06.01 (2010-05-28 08:56), 0.09-07 (2010-06-04 10:41), 0.09-08 (2010-06-06 08:20), 0.09-09 (2010-06-08 09:37), 0.09-10 (2010-06-15 10:50), 0.09-11.01 (2010-10-18 21:10), 0.09-11.02 (2010-10-25 12:40), 0.09-11.03 (2010-11-11 13:40), 0.09-11.04 (2011-02-04 07:44), 0.09-11.05 (2011-02-05 18:08), 0.09-11.06 (2011-02-08 23:04), 0.09-11 (2010-06-29 14:30), 0.09-12 (2011-02-09 11:48), 0.09-13 (2011-02-17 14:08), 0.09-14 (2011-04-25 09:58), 0.09-15 (2011-11-21 11:57), 0.09-16 (2012-01-19 21:42), 0.09-18.03 (2013-08-26 17:56), 0.09-18 (2012-09-05 08:25), 0.09-19 (2014-10-02 08:02), 0.10-1 (2015-04-06 17:57), 0.10-2 (2015-04-07 16:15), 1.0 (2015-04-16 19:53)
Other packages that cited mi R package
View mi citation profile
Other R packages that mi depends,
imports, suggests or enhances
Complete documentation for mi
Functions, R codes and Examples using
the mi R package
Some associated functions: 00mi-package . 01missing_variable . 02missing_data.frame . 03change . 04mi . 05Rhats . 06pool . 07complete . CHAIN . allcategorical_missing_data.frame . bounded . categorical . censored-continuous . continuous . count . experiment_missing_data.frame . fit_model . get_parameters . hist . irrelevant . mi-internal . mi2stata . mipply . multilevel_missing_data.frame . multinomial . nlsyV . positive . rdata.frame . semi-continuous .
Some associated R codes: AllClass.R . AllGeneric.R . change.R . change_family.R . change_imputation_method.R . change_link.R . change_model.R . change_size.R . change_transformation.R . change_type.R . complete.R . convenience.R . debug.R . fit_model.R . get_parameters.R . hist_methods.R . mi.R . misc.R . missing_data.frame.R . missing_variable.R . plot_methods.R . pool.R . random_df.R . tobin5.R . zzz.R . Full mi package functions and examples
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