Analysis and Imputation of Categorical-Variable Datasets with Missing Values

[Up] [Top]

Documentation for package ‘cat’ version 0.0-9

Help Pages

belt Data on driver injury and seat belt use
belt.frame Data on driver injury and seat belt use
bipf Bayesian Iterative Proportional Fitting (BIPF)
crimes U.S. National Crime Survey
da.cat Data Augmentation algorithm for incomplete categorical data
dabipf Data augmentation-Bayesian IPF algorithm for incomplete categorical data
ecm.cat ECM algorithm for incomplete categorical data
em.cat EM algorithm for incomplete categorical data
imp.cat Impute missing categorical data
ipf Iterative Proportional Fitting
logpost.cat Log-posterior density for incomplete categorical data
mda.cat Monotone Data Augmentation algorithm for incomplete categorical data
mi.inference Multiple imputation inference
older Older people dataset
older.frame Older people dataset
prelim.cat Preliminary manipulations on incomplete categorical data
rngseed Initialize random number generator seed