彩票走势图

该软件的人性化设计给用户提供了如下功能：

• 简单直观的窗口使复杂的模型设计变得简便易行。

• 允许连续因变量(continuous outcome)混合模型中，因变量有自相关残差(auto-correlated residuals)。

• 在顺序因变量混合模型中可以包含scaling effects并进行non-proportional odds模型分析。

• 进行泊松分布混合模型分析。

• 名义因变量的 logistic regression模型分析。

• 分组时间序列的grouped-time survival混合模型分析。

• 二层和三层混合模型分析。

• 直观的图表。

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.