missingdata {lava} | R Documentation |
Missing data example
Description
Simulated data generated from model
Format
list of data.frames
Details
The list contains four data sets 1) Complete data 2) MCAR 3) MAR 4) MNAR (missing mechanism depends on variable V correlated with Y1,Y2)
Source
Simulated
Examples
data(missingdata)
e0 <- estimate(lvm(c(y1,y2)~b*x,y1~~y2),missingdata[[1]]) ## No missing
e1 <- estimate(lvm(c(y1,y2)~b*x,y1~~y2),missingdata[[2]]) ## CC (MCAR)
e2 <- estimate(lvm(c(y1,y2)~b*x,y1~~y2),missingdata[[2]],missing=TRUE) ## MCAR
e3 <- estimate(lvm(c(y1,y2)~b*x,y1~~y2),missingdata[[3]]) ## CC (MAR)
e4 <- estimate(lvm(c(y1,y2)~b*x,y1~~y2),missingdata[[3]],missing=TRUE) ## MAR
[Package lava version 1.8.0 Index]