Performs model comparisons for a series of nested statistical models fit using with.mitml.list.
Usage
## S3 method for class 'mitml.result'
anova(object, ...)
Arguments
object
An object of class mitml.result as produced by with.mitml.list.
...
Additional objects of class mitml.result to be included in the comparison.
Details
This function performs several model comparisons between models fit using with.mitml.list.
If possible, the models are compared using the D_3 statistic (Meng & Rubin, 1992).
If this method is unavailable, the D_2 statistic is used instead (Li, Meng, Raghunathan, & Rubin, 1991).
The D_3 method currently supports linear models and linear mixed-effects models with a single cluster variable as estimated by lme4 or nlme (see Laird, Lange, & Stram, 1987).
This function is essentially a wrapper for testModels with the advantage that several models can be compared simultaneously.
All model comparisons are likelihood-based.
For further options for model comparisons (e.g., Wald-based procedures) and finer control, see testModels.
Value
Returns a list containing the results of each model comparison.
A print method is used for better readable console output.
Author(s)
Simon Grund
References
Meng, X.-L., & Rubin, D. B. (1992). Performing likelihood ratio tests with multiply-imputed data sets. Biometrika, 79, 103-111.
Laird, N., Lange, N., & Stram, D. (1987). Maximum likelihood computations with repeated measures: Application of the em algorithm. Journal of the American Statistical Association, 82, 97-105.
Li, K. H., Raghunathan, T. E., & Rubin, D. B. (1991). Large-sample significance levels from multiply imputed data using moment-based statistics and an F reference distribution. Journal of the American Statistical Association, 86, 1065-1073.