Imputation_Method: The Imputated Income Values Simulator
In ltanecon/BayesImp: Bayesian Imputation Method

A function to populate imputed income values by the standard, rank-based and Bayesian methods.

1 2	Imputation_Method(df, par = NULL, standard = 1, rank_based = 1, Bayesian = 1, select = NA, prior.grid = 50, rtol = 1e-11)

`df`	The longitudinal file.
`par`	The GB2 distribution parameters. If not provided, the parameters will be estimated based `df`.
`standard`	Flag for generating imputed values by the standard method in the output.
`rank_based`	Flag for generating imputed values by the rank_based method in the output.
`Bayesian`	Flag for generating imputed values by the Bayesian method in the output.
`select`	How many waves are used to estimate prior distribution. If NA, then all waves will be used.
`prior.grid`	Controls the number of bins in WGLVmix.
`rtol`	The relative tolerance for dual gap convergence criterion used in KWDual.

A data.frame contains the input with extra columns shown the imputed income values.

Tan, Li (2017), Imputing Top-Coded Income Data in Longitudinal Surveys, Working Papers. (link)

1	Imputation_Method(df = SIPP1996Analytic, par = Example_GB2_param, standard = 1, rank_based = 1, Bayesian = 1, select = NA, prior.grid = 50, rtol = 1e-11)