The standard errors are not constant with missing data. Currently lavaan gives a different covariance for different missing patterns. Need to incorporate this into get_fs() for row-specific errors and loadings.
Then show an example of analyzing this in tspa_mx().
[x] Compute factor scores with missing data
[x] Compute standard errors with missing data
[x] Include scoring matrix, fsL, fsT, etc, for each missing pattern
[x] Unit test showing that our function gives same results as lavaan
[x] Provide an example with OpenMx using individual-specific standard errors.
The standard errors are not constant with missing data. Currently
lavaan
gives a different covariance for different missing patterns. Need to incorporate this intoget_fs()
for row-specific errors and loadings.Then show an example of analyzing this in
tspa_mx()
.lavaan
OpenMx
using individual-specific standard errors.