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GAM(mgcv)中分类术语之间的相互作用

[英]Interactions between categorical terms in GAM (mgcv)

I'm trying to fit a model using the mgcv package and I need to include interactions between categorical terms.我正在尝试使用 mgcv package 来拟合 model 并且我需要包括分类术语之间的交互。 I know how to implement interactions between continuous and categorical variables as我知道如何实现连续变量和分类变量之间的交互

s(x1, by=c1)

but I don't know how to change this for two categorical terms and I couldn't find anything.但我不知道如何为两个分类术语更改它,我找不到任何东西。

You can add parametric terms to the formula just as you would in a linear model or a GLM.您可以将参数项添加到公式中,就像在线性 model 或 GLM 中一样。

gam(y ~ f1 + f2 + f1:f2 + s(x1), data = df, method = "REML")

or via the shorthand或通过速记

gam(y ~ f1 * f2 + s(x1), data = df, method = "REML")

would be a model with main effects plus interactions of the two categorical variables f1 and f2 plus a smooth effect of continuous variable x1 .将是一个 model ,主效应加上两个分类变量f1f2的交互作用加上连续变量x1的平滑效应。

Anything you can do with parametric terms in lm() or glm() can be used in the formula for gam() , gamm() , bam() , and gamm4::gamm4() .您可以对lm()glm()中的参数项执行的任何操作都可以用于gam()gamm()bam()gamm4::gamm4()的公式中。

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