r语言平滑算法的相关内容

文章 2024-04-30 来自：开发者社区

R语言平滑算法LOESS局部加权回归、三次样条、变化点检测拟合电视节目《白宫风云》在线收视率

原文链接：http://tecdat.cn/?p=24067 此示例基于电视节目的在线收视率。我们将从抓取数据开始（点击文末“阅读原文”获取完整代码数据）。 # 加载软件包。 packages <- c("gplot2", "MASS", "reshp...

文章 2024-04-17 来自：开发者社区

R语言非参数方法：使用核回归平滑估计和K-NN(K近邻算法)分类预测心脏病数据

本文考虑一下基于核方法进行分类预测。注意，在这里，我们不使用标准逻辑回归，它是参数模型。非参数方法用于函数估计的非参数方法大致上有三种：核方法、局部多项式方法、样条方法。非参的函数估计的优点在于稳健，对模型没有什么特定的假设，只是认为函数光滑，避免了模型选择带来的风险；但是，表达式复杂，难以解释，计算量大是非参的一个很大的毛病。所以说使用非参有风险，选择需谨慎。 ...

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更新时间 2024-05-01 15:16:54

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