Table 5.
Comparisons in terms of selected statistical output
| Software Procedure (Version) | Estimates of Marginal Variance- Covariance Matrices | Adjustments for Multiple Comparisons | Graphs of Marginal Fitted Values |
|---|---|---|---|
| HLM (7) | √ | ||
| MIXREG (1.2) | |||
| MLwiN (2.22) | √ | ||
| Mplus (6.1) | √ | √ | |
| R (2.12.2): lme() | √ | 1 | |
| R (2.12.2): lmer() | 1 | ||
| R (2.12.2): hglm() | |||
| SAS (9.2): PROC MIXED | √ | √ | |
| SAS (9.2): PROC GLIMMIX | √ | √ | |
| SAS (9.2): PROC HPMIXED | |||
| SPSS (20): MIXED / GENLINMIXED | √ | ||
| Stata (12): gllamm | |||
| Stata (12): xtmixed | 2 | 3 | √ |
| Statistica (10) | √ | √ | |
| SYSTAT (13) | √ | √ | |
| WinBUGS (1.4.3) |
1
Possible when using the multcomp package for lme or lmer objects.
2
Estimates of marginal variance-covariance matrices are available automatically when using the unofficial user-written postestimation command -xtmixed_corr- after -xtmixed-. Although this is not an official part of Stata 12, the -xtmixed_corr- command is written by one of StataCorp's developers and is available for free download from within Stata.
3
When using the post-estimation commands pwcompare or contrast.