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FRegSigCom: Functional Regression using Signal Compression Approach
Signal compression methods for functional regression. It includes various function-on-function (FOF) regression models such as the linear FOF model with functional response and both scalar and functional predictors for a small number of functional predictors, linear FOF models with a large number of functional predictors, linear FOF model for spiky data, stepwise selection for FOF models with two-way interactions, and nonlinear FOF models. It also includes scalar-on-function regression models with single (SOF) or multivariate (mSOF) scalar response variable, and SOF model for spiky data.
Getting started
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Package details |
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| Author | Ruiyan Luo, Xin Qi |
| Maintainer | Ruiyan Luo <rluo@gsu.edu> |
| License | GPL-2 |
| Version | 0.3.0 |
| URL | http://sites.gsu.edu/rluo/ http://sites.gsu.edu/xqi3/ |
| Package repository | View on CRAN |
| Installation |
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