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refund (version 0.1-23)

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

0.1-23

License

GPL (>= 2)

Maintainer

Julia Wrobel

Last Published

December 4th, 2020

Functions in refund (0.1-23)

Diffusion Tensor Imaging: tract profiles and outcomes

Predict.matrix.pcre.random.effect

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

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

Construct an FGAM regression term

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Internal computation function

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

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

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Get estimated coefficients from a pffr fit

cmdscale_lanczos

Faster multi-dimensional scaling

Observed CD4 cell counts

Construct an FGAM regression term

Additive model with constraints

Return call with all possible arguments

Sum computation 1

Sandwich smoother for matrix data

Trace computation

Bayesian Function-on-scalar regression

Plot PC-based function-on-function regression terms

Corrected confidence bands using functional principal components

Functional Generalized Additive Models

Two-step function-on-scalar regression

create.prep.func

Construct a function for preprocessing functional predictors

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

Function-on Scalar Regression with variable selection

Longitudinal Functional Data Analysis using FPCA

Functional principal components analysis by smoothed covariance

Simple bootstrap CIs for pffr

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

Construct a function-on-function regression term

Sum computation 2

Permutation testing for function-on-scalar regression

Function-on-scalar regression

Construct an FLM regression term

Construct a VDFR regression term

Functional principal component analysis by a two-stage method

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

Smoothed FPCA via iterative penalized rank one SVDs.

Get recognized transformation function

Cross-sectional FoSR using a Gibbs sampler and FPCA

Functional principal component analysis with fast covariance estimation

Construct a FPC regression term

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

Construct a PEER regression term in a pfr formula

Longitudinal Functional Models with Structured Penalties

Octane numbers and NIR spectra of gasoline

Functional principal component regression

Multilevel functional principal components analysis by smoothed covariance

Construct an FLM regression term

Some diagnostics for a fitted pffr model

Plot a pfr object

model.matrix.pffr

Obtain model matrix for a pffr fit

Prediction for fast bivariate P-spline (fbps)

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

Cross-sectional FoSR using GLS

pco_predict_preprocess

Make predictions using pco basis terms

Plot for Function-on Scalar Regression with variable selection

Default plotting of function-on-scalar regression objects

Default plotting for functional principal component regression output

Obtain residuals and fitted values for a pffr models

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

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

smooth.construct.pco.smooth.spec

Principal coordinate ridge regression

Sum computation 2

Longitudinal penalized functional regression

QQ plots for pffr model residuals

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

Pointwise cross-validation for function-on-scalar regression

Multilevel FoSR using Variational Bayes and Wishart prior

Plotting of estimated regression functions obtained through lpeer()

Visualization of PFR objects

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

Local version of plot.gam

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Penalized Functional Regression (old version)

Visualization of FGAM objects

Construct a smooth function-on-function regression term

Compute quadrature weights

Summary for a pfr fit

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

Prediction for penalized function-on-function regression

Random effects constructor for fgam

Leave-one-function-out cross-validation

Cross-sectional FoSR using GLS

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

Cross-sectional FoSR using Variational Bayes and FPCA

Functional Models with Structured Penalties

Penalized Functional Regression

Plot a pffr fit

Simulate example data for pffr

refund-internal

Internal functions for the refund package

Plotting of estimated regression functions obtained through peer()

Regression with Functional Data

Penalized flexible functional regression

Prediction from a fitted FGAM model

Prediction from a fitted pfr model

Prediction from a fitted bayes_fosr model

SOFA (Sequential Organ Failure Assessment) Data

Cross-sectional FoSR using Variational Bayes and Wishart prior

Summary for a pffr fit

Multilevel FoSR using Variational Bayes and FPCA

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

print.summary.pffr

Print method for summary of a pffr fit

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty