Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.1) of this package.
Take me there.
mi (version 0.10-2)
Missing Data Imputation and Model Checking
Description
R functions for performing multiple imputation with several checks.
Copy Link
Link to current version
Version
Version
1.1
1.0
0.10-2
0.10-1
0.09-19
0.09-18.03
0.09-16
0.09-15
0.09-14
0.09-13
0.09-12
0.09-11.06
0.09-11.05
0.09-11.04
0.09-11.03
0.09-11.02
0.09-11.01
0.09-10
0.09-09
0.09-08
0.09-07
0.09-06.01
0.09-05
0.09-04
0.09-02
0.09-01
0.08-08.02
0.08-08.01
0.08-06
0.08-05
0.08-04.07
0.08-04.06
0.08-04.04
0.08-04.02
0.08-04.01
0.08-03
0.08-02
0.08-01
0.07-4
0.07-3
0.07-2
0.07-1
0.06-5
0.06-4.01
0.06-2
0.06-1
0.05-1
0.04-6
0.04-5
0.04-4
0.04-3
0.04-2
0.02-03
0.02-02
0.02-01
Install
install.packages('mi')
Monthly Downloads
22,287
Version
0.10-2
License
GPL (>= 2)
Maintainer
YuSung Su
Last Published
April 7th, 2015
Functions in mi (0.10-2)
Search all functions
mi.categorical
Elementary function: multinomial log-linear models to impute a categorical variable.
mi.binary
Elementary function: Bayesian logistic regression to impute a binary variable.
mi.method
Virtual class for all mi classes.
mi.info
Function to create information matrix for missing data imputation
mi.completed
Multiply Imputed Dataframes
missing.pattern.plot
Missing Pattern Plot
mi.hist
Multiple Imputation Histogram
mi.polr
Elementary function: multinomial log-linear models to impute a ordered categorical variable.
mi.count
Elementary function: Bayesian overdispersed poisson regression to impute a count variable.
convergence.plot
Convergence Plot of mi Object
mi.fixed
Elementary function: imputation of constant variable.
write.mi
Writes mi impuations to file
mi.pmm
Elementary function: Predictive Mean Matching for imputation.
mi.preprocess
Preproessing and Postprocessing mi data object
typecast
Variables type
plot.mi
Diagnostic Plots for multiple imputation object
type.models
Functions to identify types of the models of the mi object
mi
Multiple Iterative Regression Imputation
random.imp
Random Imputation of Missing Data
CHAIN
Subset of variables from the CHAIN project, a longitudinal cohort study of people living with HIV in New York City.
mi.pooled
Modeling Functions for Multiply Imputed Dataset
noise.control
Auxiliary for Adding Priors to Missing Data Imputation
mi.continuous
Elementary function: linear regression to impute a continuous variable.
mi.info.update
function to update mi.info object to use for multiple imputation
mi.scatterplot
Multiple Imputation Scatterplot