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refund (version 0.1-13)

Regression with Functional Data

Description

Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.

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Version

Install

install.packages('refund')

Monthly Downloads

4,424

Version

0.1-13

License

GPL (>= 2)

Maintainer

Lei Huang

Last Published

September 8th, 2015

Functions in refund (0.1-13)

Penalized Functional Regression

model.matrix.pffr

Obtain model matrix for a pffr fit

Trace computation

Functional principal component regression

Construct a PC-based function-on-function regression term

Penalized function-on-function regression

Sum computation 1

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

Sandwich smoother for matrix data

Function-on-scalar regression

Functional Models with Structured Penalties

Octane numbers and NIR spectra of gasoline

Bayesian Function-on-scalar regression

Two-step function-on-scalar regression

Construct an FGAM regression term

Simulated longitudinal data with functional predictor and scalar response, and structural information associated with predictor function

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Plot for Function-on Scalar Regression with variable selection

Default plotting of function-on-scalar regression objects

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Additive model with constraints

Prediction for penalized function-on-function regression

Functional principal components analysis by smoothed covariance

Function-on Scalar Regression with variable selection

Return call with all possible arguments

Construct an FGAM regression term

Plot PC-based function-on-function regression terms

Prediction from a fitted FGAM model

Corrected confidence bands using functional principal components

Plot a pfr object

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

Construct a VDFR regression term

Longitudinal penalized functional regression

Construct an FLM regression term

Sum computation 2

Functional principal component analysis by a two-stage method

Plotting of estimated regression functions obtained through peer()

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Get recognized transformation function

Functional Generalized Additive Models

Penalized function-on-function regression with non-i.i.d. residuals

Cross-sectional FoSR using a Gibbs sampler and FPCA

Observed CD4 cell counts

Plotting of estimated regression functions obtained through lpeer()

pffr-constructor for functional principal component-based functional random intercepts.

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

Simulate example data for pffr

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty

Prediction from a fitted pfr model

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

Construct a PEER regression term in a pfr formula

Internal computation function

Penalized Functional Regression (old version)

Predict.matrix.pcre.random.effect

mgcv-style constructor for prediction of PC-basis functional random effects

Simple bootstrap CIs for pffr

Get estimated coefficients from a pffr fit

Multilevel functional principal components analysis by smoothed covariance

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

Cross-sectional FoSR using Variational Bayes and FPCA

Leave-one-function-out cross-validation

SOFA (Sequential Organ Failure Assessment) Data

Diffusion Tensor Imaging: tract profiles and outcomes

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

Cross-sectional FoSR using GLS

create.prep.func

Construct a function for preprocessing functional predictors

Construct an FLM regression term

Longitudinal Functional Models with Structured Penalties

Construct a FPC regression term

Construct a function-on-function regression term

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

Random effects constructor for fgam

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

Sum computation 2

Cross-sectional FoSR using GLS

Permutation testing for function-on-scalar regression

Construct a smooth function-on-function regression term

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

Summary for a pfr fit

Smoothed FPCA via iterative penalized rank one SVDs.

Summary for a pffr fit

Plot a pffr fit

Smoothed FPCA via iterative penalized rank one SVDs.

Cross-sectional FoSR using Variational Bayes and Wishart prior

Visualization of FGAM objects

Multilevel FoSR using Variational Bayes and Wishart prior

Likelihood Ratio Test and Restricted Likelihood Ratio Test for inference of functional predictors

Regression with Functional Data

Local version of plot.gam

Pointwise cross-validation for function-on-scalar regression

Multilevel FoSR using Variational Bayes and FPCA

Compute quadrature weights

print.summary.pffr

Print method for summary of a pffr fit

Obtain residuals and fitted values for a pffr models

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

refund-internal

Internal functions for the refund package

Default plotting for functional principal component regression output

Visualization of PFR objects