混合效应
广义线性混合效应模型
广义线性混合效应 (GLME) 模型在对响应变量建模时包括固定效应和随机效应。这种类型的模型可以通过包含聚类变量的随机效应来解释数据集中的全局和局部趋势。GLME 模型是 Linear Mixed-Effects Models (LME) 应用于响应变量不呈正态分布的数据的泛化。使用 fitglme
创建一个 GeneralizedLinearMixedModel
对象。
类
GeneralizedLinearMixedModel | Generalized linear mixed-effects model class |
函数
主题
- Fit a Generalized Linear Mixed-Effects Model
Fit a generalized linear mixed-effects model (GLME) to sample data.
- Generalized Linear Mixed-Effects Models
Generalized linear mixed-effects (GLME) models describe the relationship between a response variable and independent variables using coefficients that can vary with respect to one or more grouping variables, for data with a response variable distribution other than normal.
- Wilkinson Notation
Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.