Concurrent Regression and History Index Models for Functional Data
Functional Concurrent Regression with Lag Model
Functional Concurrent Regression using 2D smoothing
fdaconcur: Concurrent Regression and History Index Models for Function...
Fitted functional responses from a ptFCReg object.
Bootstrap pointwise confidence intervals for the coefficient functions...
Bootstrap pointwise confidence intervals for the coefficient functions...
Functional History Index Model
Functional History Index Model
Functional concurrent regression using pointwise multiple linear regre...
Smooth the concurrent effects functions in a ptFCReg object using lo...
Provides an implementation of concurrent or varying coefficient regression methods for functional data. The implementations are done for both dense and sparsely observed functional data. Pointwise confidence bands can be constructed for each case. Further, the influence of past predictor values are modeled by a smooth history index function, while the effects on the response are described by smooth varying coefficient functions, which are very useful in analyzing real data such as COVID data. References: Yao, F., Müller, H.G., Wang, J.L. (2005) <doi:10.1214/009053605000000660>. Sentürk, D., Müller, H.G. (2010) <doi:10.1198/jasa.2010.tm09228>.
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