R: Concurrent Regression and History Index Models for Functional Data

# Concurrent Regression and History Index Models for Functional Data

## Documentation for package ‘fdaconcur’ version 0.1.3

- DESCRIPTION file
- Package NEWS

## Help Pages

fdaconcur-package | fdaconcur: Concurrent Regression and History Index Models for Functional Data
ConcReg_Lag | Functional Concurrent Regression with Lag Model
ConcurReg | Functional Concurrent Regression using 2D smoothing
fdaconcur | fdaconcur: Concurrent Regression and History Index Models for Functional Data
fitted_ptFCReg | Fitted functional responses from a 'ptFCReg' object.
GetCI_Dense | Bootstrap pointwise confidence intervals for the coefficient functions in functional concurrent regression for densely observed data.
GetCI_Sparse | Bootstrap pointwise confidence intervals for the coefficient functions in functional concurrent regression for sparsely observed data.
historyIndexDense | Functional History Index Model
historyIndexSparse | Functional History Index Model
ptFCReg | Functional concurrent regression using pointwise multiple linear regression.
smPtFCRegCoef | Smooth the concurrent effects functions in a 'ptFCReg' object using local linear regression. The local linear regression is implemented using the function 'Lwls1D'.