SuperMix: A Program for Mixed-Effects Regression Models. SuperMix combines the functionality of four mixed-effects programs, MIXREG, MIXOR, MIXNO, and MIXPREG, developed by Donald Hedeker and Robert Gibbons into a single application to provide estimates for mixed-effects regression models. Mixed-effects models are also known as multilevel, hierarchical, or random-effects models. These models can be used for the analysis of longitudinal data, where each individual may be measured at a different number of occasions. They can also be used for clustered data, such as for patients within clinics
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Hedeker, Donald; du Toit, Stephen H. C.; Demirtas, Hakan; Gibbons, Robert D.: A note on marginalization of regression parameters from mixed models of binary outcomes (2018)
- Adam Loy; Heike Hofmann: HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R (2014) not zbMATH
- George Leckie: runmixregls: A Program to Run the MIXREGLS Mixed-Effects Location Scale Software from within Stata (2014) not zbMATH