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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | 01missing_variable Class "missing_variable" and Inherited Classes
02missing_data.frame Class "missing_data.frame"
03change Make Changes to Discretionary Characteristics
of Missing Variables
04mi Multiple Imputation
05Rhats Convergence Diagnostics
06pool Estimate a Model Pooling Over the Imputed
Datasets
07complete Extract the Completed Data
CHAIN Subset of variables from the CHAIN project
allcategorical_missing_data.frame
Class "allcategorical_missing_data.frame"
bounded-continuous-class
Class "bounded-continuous"
categorical Class "categorical" and Inherited Classes
censored-continuous-class
The "censored-continuous" Class, the
"truncated-continuous" Class and Inherited
Classes
continuous Class "continuous"
count-class 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
mi-package Iterative Multiple Imputation from Conditional
Distributions
mi2stata Exports completed data in Stata (.dta) or
comma-separated (.csv) format
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-continuous-class
Class "positive-continuous" and Inherited
Classes
rdata.frame Generate a random data.frame with tunable
characteristics
semi-continuous-class Class "semi-continuous" and Inherited Classes
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