Simultaneously Impute the Missing and Censored Values
Autocorrelation function
Averaged simulated values plot function
Convergence plot function
Data generation function
Marginal density plots function
Multiple imputation function
mvnimpute: Multiple imputation for multivariate data with missing and ...
Combined NHANES dataset from 1999-2004 NHANES study
Draws percentage plot for different type of values
Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.