refund0.1-35 package

Regression with Functional Data

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

af

Construct an FGAM regression term

af_old

Construct an FGAM regression term

amc

Additive model with constraints

bayes_fosr

Bayesian Function-on-scalar regression

ccb.fpc

Corrected confidence bands using functional principal components

cmdscale_lanczos

Faster multi-dimensional scaling

coef.pffr

Get estimated coefficients from a pffr fit

coefboot.pffr

Simple bootstrap CIs for pffr

coefficients.pfr

Extract coefficient functions from a fitted pfr-object

create.prep.func

Construct a function for preprocessing functional predictors

expand.call

Return call with all possible arguments

f_sum

Sum computation 1

f_sum2

Sum computation 2

f_sum4

Sum computation 2

f_trace

Trace computation

fbps

Sandwich smoother for matrix data

ff

Construct a function-on-function regression term

ffpc

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

ffpcplot

Plot PC-based function-on-function regression terms

fgam

Functional Generalized Additive Models

fosr.perm

Permutation testing for function-on-scalar regression

fosr

Function-on-scalar regression

fosr.vs

Function-on Scalar Regression with variable selection

fosr2s

Two-step function-on-scalar regression

fpc

Construct a FPC regression term

fpca.face

Functional principal component analysis with fast covariance estimatio...

fpca.lfda

Longitudinal Functional Data Analysis using FPCA

fpca.sc

Functional principal components analysis by smoothed covariance

fpca.ssvd

Smoothed FPCA via iterative penalized rank one SVDs.

fpca2s

Functional principal component analysis by a two-stage method

fpcr

Functional principal component regression

getTF

Get recognized transformation function

gibbs_cs_fpca

Cross-sectional FoSR using a Gibbs sampler and FPCA

gibbs_cs_wish

Cross-sectional FoSR using a Gibbs sampler and Wishart prior

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

gls_cs

Cross-sectional FoSR using GLS

lf

Construct an FLM regression term

lf.vd

Construct a VDFR regression term

lf_old

Construct an FLM regression term

lofocv

Leave-one-function-out cross-validation

lpeer

Longitudinal Functional Models with Structured Penalties

lpfr

Longitudinal penalized functional regression

mfpca.face

Multilevel functional principal components analysis with fast covarian...

mfpca.sc

Multilevel functional principal components analysis by smoothed covari...

model.matrix.pffr

Obtain model matrix for a pffr fit

ols_cs

Cross-sectional FoSR using GLS

pco_predict_preprocess

Make predictions using pco basis terms

pcre

pffr-constructor for functional principal component-based functional r...

peer

Construct a PEER regression term in a pfr formula

peer_old

Functional Models with Structured Penalties

pffr.check

Some diagnostics for a fitted pffr model

pffr

Penalized flexible functional regression

pffrGLS

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

pffrSim

Simulate example data for pffr

pfr

Penalized Functional Regression

pfr_old

Penalized Functional Regression (old version)

pfr_plot.gam

Local version of plot.gam

plot.fosr

Default plotting of function-on-scalar regression objects

plot.fosr.vs

Plot for Function-on Scalar Regression with variable selection

plot.fpcr

Default plotting for functional principal component regression output

plot.lpeer

Plotting of estimated regression functions obtained through lpeer()

plot.peer

Plotting of estimated regression functions obtained through peer()

plot.pffr

Plot a pffr fit

plot.pfr

Plot a pfr object

predict.fbps

Prediction for fast bivariate P-spline (fbps)

predict.fgam

Prediction from a fitted FGAM model

predict.fosr

Prediction from a fitted bayes_fosr model

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

Predict.matrix.pcre.random.effect

mgcv-style constructor for prediction of PC-basis functional random ef...

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

predict.pffr

Prediction for penalized function-on-function regression

predict.pfr

Prediction from a fitted pfr model

print.summary.pffr

Print method for summary of a pffr fit

pwcv

Pointwise cross-validation for function-on-scalar regression

qq.pffr

QQ plots for pffr model residuals

quadWeights

Compute quadrature weights

re

Random effects constructor for fgam

residuals.pffr

Obtain residuals and fitted values for a pffr models

rlrt.pfr

Likelihood Ratio Test and Restricted Likelihood Ratio Test for inferen...

sff

Construct a smooth function-on-function regression term

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

smooth.construct.pco.smooth.spec

Principal coordinate ridge regression

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

smooth.construct.peer.smooth.spec

Basis constructor for PEER terms

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty

summary.pffr

Summary for a pffr fit

summary.pfr

Summary for a pfr fit

vb_cs_fpca

Cross-sectional FoSR using Variational Bayes and FPCA

vb_cs_wish

Cross-sectional FoSR using Variational Bayes and Wishart prior

vb_mult_fpca

Multilevel FoSR using Variational Bayes and FPCA

vb_mult_wish

Multilevel FoSR using Variational Bayes and Wishart prior

vis.fgam

Visualization of FGAM objects

vis.pfr

Visualization of PFR objects

Xt_siginv_X

Internal computation function

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.

  • Maintainer: Julia Wrobel
  • License: GPL (>= 2)
  • Last published: 2024-02-14