YWC.data: A data frame for multivariate imputation

In pan: Multiple Imputation for Multivariate Panel or Clustered Data

A data frame for multivariate imputation

Description

The data serves as an worked example for PAN as follows,

head(YWC.data)
Yi.Matrix <- as.matrix(YWC.data[,4:39])
Subj.vector <- as.vector(as.matrix(YWC.data[,2]))
YWC.data$intercept <- 1. 
Pred.Matrix <- as.matrix(YWC.data[,c(40,3)])
xcol <- 1:2
zcol <- 1
a.parameter = ncol(Yi.Matrix)
Binv.parameter = diag(a.parameter*a.parameter)
c.parameter = (zcol*ncol(Yi.Matrix))
Dinv.parameter = diag(c.parameter*c.parameter)
Prior.Distribution <- list(a = a.parameter, 
                           Binv = Binv.parameter, 
                           c = c.parameter, 
                           Dinv = Dinv.parameter)
Imputation.Result <- pan(Yi.Matrix, Subj.vector, Pred.Matrix, xcol, zcol, Prior.Distribution, seed=44896, iter=1000)

Usage

data(YWC.data)

Format

A data frame

Source

Steven J. Pierce

pan documentation built on Aug. 21, 2023, 9:07 a.m.