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refund (version 0.1-0)

Regression with Functional Data

Description

Functions for regression with functional data. The principal methods currently implemented are (1) functional-response/scalar-predictor regression by penalized OLS or GLS; and (2) functional principal component regression for scalar responses and functional predictors.

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Version

Install

install.packages('refund')

Monthly Downloads

4,424

Version

0.1-0

License

GPL (>= 2)

Maintainer

Lei Huang

Last Published

August 18th, 2010

Functions in refund (0.1-0)

fpcr

Functional principal component regression
amc

Additive model with constraints
refund-package

Regression with Functional Data
lofocv

Leave-one-function-out cross-validation
plot.fosr

Default plotting of function-on-scalar regression objects
fosr.perm

Permutation testing for function-on-scalar regression
pwcv

Pointwise cross-validation for function-on-scalar regression
fosr

Function-on-scalar regression