runMI-deprecated: Fit a lavaan Model to Multiple Imputed Data Sets

In semTools: Useful Tools for Structural Equation Modeling

Fit a lavaan Model to Multiple Imputed Data Sets

Description

This function fits a lavaan model to a list of imputed data sets, and can also implement multiple imputation for a single data.frame with missing observations, using either the Amelia package or the mice package.

Usage

runMI(model, data, fun = "lavaan", ...,
      m, miArgs = list(), miPackage = "Amelia", seed = 12345)

lavaan.mi(model, data, ...,
          m, miArgs = list(), miPackage = "Amelia", seed = 12345)

cfa.mi(model, data, ...,
       m, miArgs = list(), miPackage = "Amelia", seed = 12345)

sem.mi(model, data, ...,
       m, miArgs = list(), miPackage = "Amelia", seed = 12345)

growth.mi(model, data, ...,
          m, miArgs = list(), miPackage = "Amelia", seed = 12345)

Arguments

model	The analysis model can be specified using lavaan::model.syntax() or a lavaan::parTable()
data	A data.frame with missing observations, or a list of imputed data sets (if data are imputed already). If runMI() has already been called, then imputed data sets are stored in the ⁠@DataList⁠ slot, so ⁠data=⁠ can also be an OLDlavaan.mi object from which the same imputed data will be used for additional analyses.
fun	character. Name of a specific lavaan function used to fit ⁠model=⁠ to ⁠data=⁠ (i.e., "lavaan", "cfa", "sem", or "growth"). Only required for runMI().
...	additional arguments to pass to lavaan::lavaan() or lavaan::lavaanList(). See also lavaan::lavOptions(). Note that lavaanList provides parallel computing options, as well as a FUN argument so the user can extract custom output after the model is fitted to each imputed data set (see Examples). TIP: If a custom FUN is used and parallel = "snow" is requested, the user-supplied function should explicitly call library or use :: for any functions not part of the base distribution.
m	integer. Request the number of imputations. Ignored if ⁠data=⁠ is already a list of imputed data sets or an OLDlavaan.mi object.
miArgs	Addition arguments for the multiple-imputation function (miPackage). The arguments should be put in a list (see example below). Ignored if ⁠data=⁠ is already a list of imputed data sets or an OLDlavaan.mi object.
miPackage	Package to be used for imputation. Currently these functions only support "Amelia" or "mice" for imputation. Ignored if data is already a list of imputed data sets or an OLDlavaan.mi object.
seed	integer. Random number seed to be set before imputing the data. Ignored if data is already a list of imputed data sets or an OLDlavaan.mi object.

Value

A OLDlavaan.mi object

Author(s)

Terrence D. Jorgensen (University of Amsterdam; [e-mail])

References

Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford.

Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York, NY: Wiley.

See Also

semTools-deprecated()

semTools-deprecated()

semTools-deprecated()

semTools-deprecated()

semTools-deprecated()

Examples

## See the new lavaan.mi package

semTools documentation built on April 3, 2025, 9:23 p.m.