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cat (version 0.0-9)
Analysis and Imputation of Categorical-Variable Datasets with Missing Values
Description
Performs analysis of categorical-variable with missing values. Implements methods from Schafer, JL, Analysis of Incomplete Multivariate Data, Chapman and Hall.
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0.0-9
0.0-7
0.0-6.5
0.0-6.4
0.0-6.3
0.0-6.2
0.0-6.1
0.0-5
0.0-4
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Install
install.packages('cat')
Monthly Downloads
698
Version
0.0-9
License
file LICENSE
Maintainer
Fernando Tusell
Last Published
September 3rd, 2023
Functions in cat (0.0-9)
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crimes
U.S. National Crime Survey
da.cat
Data Augmentation algorithm for incomplete categorical data
ecm.cat
ECM algorithm for incomplete categorical data
rngseed
Initialize random number generator seed
logpost.cat
Log-posterior density for incomplete categorical data
older
Older people dataset
mda.cat
Monotone Data Augmentation algorithm for incomplete categorical data
prelim.cat
Preliminary manipulations on incomplete categorical data
bipf
Bayesian Iterative Proportional Fitting (BIPF)
mi.inference
Multiple imputation inference
dabipf
Data augmentation-Bayesian IPF algorithm for incomplete categorical data
belt
Data on driver injury and seat belt use
em.cat
EM algorithm for incomplete categorical data
ipf
Iterative Proportional Fitting
imp.cat
Impute missing categorical data