Learn R Programming

⚠️There's a newer version (0.1-37) of this package.Take me there.

refund (version 0.1-35)

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.

Copy Link

Version

Install

install.packages('refund')

Monthly Downloads

2,224

Version

0.1-35

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/refunders/refund

Maintainer

Julia Wrobel

Last Published

February 14th, 2024

Functions in refund (0.1-35)

Get estimated coefficients from a pffr fit

Construct an FGAM regression term

Simple bootstrap CIs for pffr

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

Corrected confidence bands using functional principal components

Observed CD4 cell counts

The CONTENT child growth study

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

Construct an FGAM regression term

Predict.matrix.pcre.random.effect

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

Return call with all possible arguments

Sum computation 1

Sum computation 2

Sum computation 2

create.prep.func

Construct a function for preprocessing functional predictors

Sandwich smoother for matrix data

Additive model with constraints

Trace computation

Two-step function-on-scalar regression

Function-on Scalar Regression with variable selection

Bayesian Function-on-scalar regression

Construct a function-on-function regression term

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

Smoothed FPCA via iterative penalized rank one SVDs.

Permutation testing for function-on-scalar regression

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

Function-on-scalar regression

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

Longitudinal Functional Data Analysis using FPCA

Functional principal components analysis by smoothed covariance

Plot PC-based function-on-function regression terms

Cross-sectional FoSR using a Gibbs sampler and FPCA

Get recognized transformation function

Functional Generalized Additive Models

pco_predict_preprocess

Make predictions using pco basis terms

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

Plot for Function-on Scalar Regression with variable selection

Longitudinal penalized functional regression

Longitudinal Functional Models with Structured Penalties

Default plotting for functional principal component regression output

Functional principal component analysis by a two-stage method

Functional principal component analysis with fast covariance estimation

Construct a FPC regression term

Functional principal component regression

Octane numbers and NIR spectra of gasoline

Plotting of estimated regression functions obtained through lpeer()

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty

Plotting of estimated regression functions obtained through peer()

model.matrix.pffr

Obtain model matrix for a pffr fit

Cross-sectional FoSR using GLS

SOFA (Sequential Organ Failure Assessment) Data

Multilevel FoSR using Variational Bayes and FPCA

Multilevel FoSR using Variational Bayes and Wishart prior

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

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

Multilevel functional principal components analysis by smoothed covariance

Prediction from a fitted FGAM model

Prediction for penalized function-on-function regression

Prediction for fast bivariate P-spline (fbps)

Prediction from a fitted pfr model

Prediction from a fitted bayes_fosr model

Simulate example data for pffr

Multilevel functional principal components analysis with fast covariance estimation

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Construct a VDFR regression term

Functional Models with Structured Penalties

Construct an FLM regression term

Construct a PEER regression term in a pfr formula

Some diagnostics for a fitted pffr model

Cross-sectional FoSR using GLS

Penalized flexible functional regression

Plot a pfr object

Plot a pffr fit

Leave-one-function-out cross-validation

Construct an FLM regression term

Penalized Functional Regression

Pointwise cross-validation for function-on-scalar regression

print.summary.pffr

Print method for summary of a pffr fit

Visualization of FGAM objects

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

QQ plots for pffr model residuals

Penalized Functional Regression (old version)

Compute quadrature weights

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

smooth.construct.pco.smooth.spec

Principal coordinate ridge regression

Visualization of PFR objects

Summary for a pfr fit

Summary for a pffr fit

Local version of plot.gam

Default plotting of function-on-scalar regression objects

Random effects constructor for fgam

Construct a smooth function-on-function regression term

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

Obtain residuals and fitted values for a pffr models

Cross-sectional FoSR using Variational Bayes and FPCA

Cross-sectional FoSR using Variational Bayes and Wishart prior

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

The US weekly all-cause mortality and COVID19-associated deaths in 2020

Diffusion Tensor Imaging: tract profiles and outcomes

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

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

Internal computation function

cmdscale_lanczos

Faster multi-dimensional scaling