該軟件的人性化設計給用戶提供了如下功能：

• 簡單直觀的窗口使復雜的模型設計變得簡便易行。

•  允許連續因變量(continuous outcome)混合模型中，因變量有自相關殘差(auto-correlated residuals)。

•  在順序因變量混合模型中可以包含scaling effects并進行non-proportional odds模型分析。

• 進行泊松分布混合模型分析。

• 名義因變量的 logistic regression模型分析。

• 分組時間序列的grouped-time survival混合模型分析。

• 二層和三層混合模型分析。

• 直觀的圖表。

 SuperMix has been developed by SSI under an SBIR Phase II contract N44MH32056, and has been released in September 2008. SuperMix will fit models with continuous, count, ordinal, nominal, and survival outcome variables with nested data, allowing for up to three levels of nesting. Key features are listed below.

• Easy to use graphical user interface: import data into the SuperMix spreadsheet, then build new models using menus and dialog boxes.
• Mixed-effects models for continuous outcome variables with auto-correlated residuals.
• Mixed-effects models for ordinal regression analysis, including non-proportional odds models and scaling effects.
• Mixed-effects models for Poisson regression analysis.
• Mixed-effects models for nominal logistic regression analysis.
• Mixed-effects models for grouped-time survival analysis.
• Two- and three-level models allowing for nested designs.
• Presentation quality graphics.