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refund (version 0.1-22)

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

1,829

Version

0.1-22

License

GPL (>= 2)

Maintainer

Julia Wrobel

Last Published

September 3rd, 2020

Functions in refund (0.1-22)

Internal computation function

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

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

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Diffusion Tensor Imaging: tract profiles and outcomes

Construct an FGAM regression term

Predict.matrix.pcre.random.effect

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

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

Bayesian Function-on-scalar regression

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

Sum computation 2

Sum computation 2

Get estimated coefficients from a pffr fit

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

cmdscale_lanczos

Faster multi-dimensional scaling

Construct a function-on-function regression term

Trace computation

Corrected confidence bands using functional principal components

Sandwich smoother for matrix data

Construct a FPC regression term

Smoothed FPCA via iterative penalized rank one SVDs.

Observed CD4 cell counts

Simple bootstrap CIs for pffr

Return call with all possible arguments

Construct an FLM regression term

Functional principal component analysis with fast covariance estimation

Sum computation 1

Construct an FGAM regression term

Function-on Scalar Regression with variable selection

Get recognized transformation function

Two-step function-on-scalar regression

Cross-sectional FoSR using a Gibbs sampler and FPCA

Longitudinal Functional Data Analysis using FPCA

Functional principal components analysis by smoothed covariance

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

Longitudinal Functional Models with Structured Penalties

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

Construct a VDFR regression term

Functional principal component regression

model.matrix.pffr

Obtain model matrix for a pffr fit

create.prep.func

Construct a function for preprocessing functional predictors

Some diagnostics for a fitted pffr model

Function-on-scalar regression

Permutation testing for function-on-scalar regression

Multilevel functional principal components analysis by smoothed covariance

Octane numbers and NIR spectra of gasoline

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

Longitudinal penalized functional regression

Plotting of estimated regression functions obtained through peer()

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

Functional principal component analysis by a two-stage method

Cross-sectional FoSR using GLS

Construct an FLM regression term

Leave-one-function-out cross-validation

pco_predict_preprocess

Make predictions using pco basis terms

Penalized Functional Regression

Cross-sectional FoSR using GLS

Simulate example data for pffr

Additive model with constraints

Functional Models with Structured Penalties

Penalized Functional Regression (old version)

Plot PC-based function-on-function regression terms

Functional Generalized Additive Models

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

Construct a PEER regression term in a pfr formula

Plot for Function-on Scalar Regression with variable selection

Prediction from a fitted bayes_fosr model

Default plotting of function-on-scalar regression objects

Prediction from a fitted FGAM model

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

Penalized flexible functional regression

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty

Default plotting for functional principal component regression output

Plotting of estimated regression functions obtained through lpeer()

Plot a pfr object

Local version of plot.gam

Visualization of FGAM objects

Multilevel FoSR using Variational Bayes and Wishart prior

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Prediction for penalized function-on-function regression

Regression with Functional Data

refund-internal

Internal functions for the refund package

Visualization of PFR objects

Obtain residuals and fitted values for a pffr models

Prediction for fast bivariate P-spline (fbps)

Construct a smooth function-on-function regression term

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

QQ plots for pffr model residuals

smooth.construct.pco.smooth.spec

Principal coordinate ridge regression

Pointwise cross-validation for function-on-scalar regression

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

Plot a pffr fit

Compute quadrature weights

Random effects constructor for fgam

SOFA (Sequential Organ Failure Assessment) Data

Prediction from a fitted pfr model

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

print.summary.pffr

Print method for summary of a pffr fit

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

Cross-sectional FoSR using Variational Bayes and Wishart prior

Multilevel FoSR using Variational Bayes and FPCA

Summary for a pffr fit

Summary for a pfr fit

Cross-sectional FoSR using Variational Bayes and FPCA