multinomial_impute {imputeMulti}

Impute Values for missing multinomial values

Description

Impute values for multivariate multinomial data using either EM or Data Augmentation.

Usage

multinomial_impute(
  dat,
  method = c("EM", "DA"),
  conj_prior = c("none", "data.dep", "flat.prior", "non.informative"),
  alpha = NULL,
  verbose = FALSE,
  ...
)

Arguments

dat

A data.frame. All variables must be factors.

method

c("EM", "DA") A string specifying EM or Data Augmentation (DA)

conj_prior

A string specifying the conjugate prior. One of c("none", "data.dep", "flat.prior", "non.informative").

alpha

The vector of counts \alpha for a Dir(\alpha) prior. Must be specified if conj_prior is either c("data.dep", "flat.prior"). If flat.prior, specify as a scalar. If data.dep, specify as a vector with key matching enum_comp.

verbose

Logical. If TRUE, provide verbose output on each iteration.

...

Arguments to be passed to other methods

Value

An object of class imputeMulti-class

References

Schafer, Joseph L. Analysis of incomplete multivariate data. Chapter 7. CRC press, 1997.

See Also

data_dep_prior_multi, multinomial_em

Examples

## Not run: 
 data(tract2221)
 imputeEM <- multinomial_impute(tract2221[,1:4], method= "EM",
                   conj_prior = "none", verbose= TRUE)
 imputeDA <- multinomial_impute(tract2221[,1:4], method= "DA",
                   conj_prior = "non.informative", verbose= TRUE)

## End(Not run)