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FRegSigCom (version 0.3.0)

Functional Regression using Signal Compression Approach

Description

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.

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Version

Install

install.packages('FRegSigCom')

Monthly Downloads

3

Version

0.3.0

License

GPL-2

Maintainer

Ruiyan Luo

Last Published

November 15th, 2018

Functions in FRegSigCom (0.3.0)

cv.fof.spike

Cross-validation for linear function-on-function regression on highly densely observed spiky data
pred.fof.spike

Prediction for linear function-on-function regression on highly sensely observed spiky data
pred.fof.wv

Prediction for linear function-on-function regression using signal compression
step.ff.interaction

Stepwise variable selection procedure for FOF regression models with two-way interactions
cv.hd

Cross-validation for sparse linear function-on-function regression with a large number of functional predictors
cv.msof

Cross-validation for linear multivariate scalar-on-function regression
Pork

Pork fat samples
corn

NIR of corn samples
air

Air quality data
cv.msof.hd

Cross-validation for high dimensional linear multivariate scalar-on-function regression
cv.nonlinear

Cross-validation for nonlinear function-on-function regression
getcoef.ff.interaction

Get the estimated coefficient functions for function-on-function interaction model
getcoef.nonlinear

Get the estimated intercept and nonlinear functions in nonlinear function-on-function model
cv.ff.interaction

Cross-validation for function-on-function regression models with specified main effects and two-way interaction terms
getcoef.hd

Get the estimated coefficient functions for linear function-on-function models with a large numbe of predictor curves
cv.sigcom

Cross-validation for linear function-on-function regression
ocean

Hawaii ocean data
cv.sof.spike

Cross-validation for linear scalar-on-function regression for highly densely observed spiky functional data
pred.ff.interaction

Prediction for a linear FOF regression model with two-way interactions
getcoef.sigcom

Get the estimated intercept and coefficient functions for linear function-on-function models
pred.sigcom

Prediction for linear function-on-function regression using signal compression
pred.sof.spike

Prediction for linear function-on-function regression on highly sensely observed spiky data
pred.hd

Prediction for sparse linear function-on-function regression
pred.nonlinear

Prediction for nonlinear function-on-function regression
pred.msof.hd

Prediction for high dimensional linear multivariate scalar-on-function regression
pred.msof

Prediction for linear multivariate scalar-on-function regression
cv.fof.wv

Cross-validation for wavelet-based linear function-on-function regression method