Missing data example

Source: R/lava-package.R

Simulated data generated from model $$E(Y_i\mid X) = X, \quad cov(Y_1,Y_2\mid X)=0.5$$

Format

list of data.frames

Source

Simulated

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)

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