imputeMulti-class: Class "imputeMulti"

In alexWhitworth/imputeMulti: Imputation Methods for Multivariate Multinomial Data

Class "imputeMulti"

Description

A multivariate multinomial model imputed by EM or Data Augmentation is represented as a mod_imputeMulti object. A complete dataset and model is represented as an imputeMulti object. Inherits from mod_imputeMulti. Additional slots are supplied for (1) the call to multinomial_impute; (2) the missing and imputed data; and (3) the number of observations with missing values.

Usage

## S4 method for signature 'imputeMulti'
show(object)

get_imputations(object)

## S4 method for signature 'imputeMulti'
get_imputations(object)

n_miss(object)

Arguments

object

an object of class "imputeMulti"

Slots

Gcall

the call to multinomial_impute

method

the modeling method

mle_call

the call to the estimation function

mle_iter

the number of iterations in estimation

mle_log_lik

the final log-likelihood

mle_cp

the conjugate prior if any

mle_x_y

the MLE estimate of the sufficient statistics and parameters

data

a list of the missing and imputed data

nmiss

the number of observations with missing data

Objects from the class

Objects are created by calls to multinomial_impute, multinomial_em, or multinomial_data_aug.

See Also

multinomial_impute, multinomial_em, multinomial_data_aug

alexWhitworth/imputeMulti documentation built on July 15, 2022, 7:02 p.m.