ss16pusa_sample_nozeros_miss: Example dataframe for input categorical data without...

In NPBayesImputeCat: Non-Parametric Bayesian Multiple Imputation for Categorical Data

Example dataframe for input categorical data without structural zeros (with missing values).

Description

Example dataframe for input categorical data without structural zeros (with missing values). It contains 1000 observations and 3 variables.

[,1]	MAR	marital status	5 levels: Married; Widowed; Divorced; Separated; Never married.
[,2]	SEX	sex	2 levels: Male; Female.
[,3]	WKL	When last worked	3 levels: Within the last 12 months; 1-5 years ago;
			Over 5 years ago or never worked.

NPBayesImputeCat documentation built on Oct. 3, 2022, 5:05 p.m.