對於配適處罰傅立葉回歸，吳（2013）提供了一些R-函數的設置單變量非參數回歸，部分線性模型，加性模型和非參數邏輯和泊松回歸。我們完善這些功能遵循的R-函數格式使用者可以應用通用的R-函數總結，summary, plot, lines, fitted, predict, and residuals.。此外，我們寫一些R-函數利用AICc或BIC來選擇懲罰參數。我們用一些數據例子來說明我們的R-函數，而且用一個小的模擬來比較懲罰傅立葉迴歸和PS。

For tting penalized Fourier regression, Wu (2013) provide some R-functions in the settings of univariate nonparametric regression, partial linear models, additive models, and nonparametric logistic and Poisson regression. We improve these functions to follow the R-function format so that users could apply generic R-functions summary, plot, lines, fitted, predict, and residuals. In addition, we write some R-function to select penalty parameters by AICc or BIC. Some data examples are used to illustrate our R-functions. A small simulation study is conducted to compare the penalized Fourier to spline approaches.

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