UpdateLambda: Update lambda.

In NestedCategBayesImpute: Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations

Description

Update lambda – the list of matrices of the group-level probabilities for each group-level variable by the group-level latent classes when the weighting/capping option is not used. Each matrix in the list is for each group-level variable.

Usage

UpdateLambda(HHdata_all, G_all, dHH, FF)

Arguments

HHdata_all	Data matrix for the household-level data from both the original data and the sampled impossible households.
G_all	A vector of the household-level latent class indexes for all households both in the original data and the sampled impossible households.
dHH	A vector containing the number of levels for each household-level variable.
FF	Maximum number of household-level latent classes allowed.

Details

Function for obtaining a posterior sample of lambda when the weighting/capping option is not used.

Value

Updated (posterior) value for lambda based on the corresponding full conditional distribution.

Author(s)

Quanli Wang

NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.