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refund (version 0.1-12)

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

0.1-12

License

GPL (>= 2)

Maintainer

Lei Huang

Last Published

August 6th, 2015

Functions in refund (0.1-12)

Two-step function-on-scalar regression

Longitudinal Functional Models with Structured Penalties

Construct an FGAM regression term

Bayesian Function-on-scalar regression

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

create.prep.func

Construct a function for preprocessing functional predictors

Plotting of estimated regression functions obtained through peer()

Plotting of estimated regression functions obtained through lpeer()

Cross-sectional FoSR using Variational Bayes and FPCA

Corrected confidence bands using functional principal components

Sum computation 1

Additive model with constraints

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Observed CD4 cell counts

Smoothed FPCA via iterative penalized rank one SVDs.

Get recognized transformation function

Diffusion Tensor Imaging: tract profiles and outcomes

Get estimated coefficients from a pffr fit

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

Predict.matrix.pcre.random.effect

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

Simulate example data for pffr

Construct an FLM regression term

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

Simple bootstrap CIs for pffr

Function-on-scalar regression

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

Prediction from a fitted FGAM model

SOFA (Sequential Organ Failure Assessment) Data

Multilevel FoSR using Variational Bayes and Wishart prior

Compute quadrature weights

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

Plot a pffr fit

Penalized Functional Regression

Functional principal components analysis by smoothed covariance

Octane numbers and NIR spectra of gasoline

Permutation testing for function-on-scalar regression

Construct an FGAM regression term

Pointwise cross-validation for function-on-scalar regression

Plot a pfr object

Cross-sectional FoSR using GLS

Leave-one-function-out cross-validation

Function-on Scalar Regression with variable selection

Internal computation function

Sum computation 2

Summary for a pffr fit

Plot for Function-on Scalar Regression with variable selection

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

Construct a PEER regression term in a pfr formula

Construct a FPC regression term

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

Sum computation 2

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

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

Regression with Functional Data

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

Plot PC-based function-on-function regression terms

Functional principal component analysis by a two-stage method

Prediction for penalized function-on-function regression

Construct a function-on-function regression term

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

model.matrix.pffr

Obtain model matrix for a pffr fit

Functional principal component regression

Cross-sectional FoSR using a Gibbs sampler and FPCA

Functional Models with Structured Penalties

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

Default plotting for functional principal component regression output

Penalized function-on-function regression

Local version of plot.gam

Visualization of FGAM objects

Functional Generalized Additive Models

Random effects constructor for fgam

Default plotting of function-on-scalar regression objects

Construct an FLM regression term

Construct a smooth function-on-function regression term

Return call with all possible arguments

Longitudinal penalized functional regression

print.summary.pffr

Print method for summary of a pffr fit

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

Trace computation

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

refund-internal

Internal functions for the refund package

Construct a VDFR regression term

Smoothed FPCA via iterative penalized rank one SVDs.

Cross-sectional FoSR using Variational Bayes and Wishart prior

Cross-sectional FoSR using GLS

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Sandwich smoother for matrix data

Prediction from a fitted pfr model

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

Obtain residuals and fitted values for a pffr models

Visualization of PFR objects

Multilevel FoSR using Variational Bayes and FPCA

Summary for a pfr fit

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty