`install.packages('refund')`

2,704

0.1-37

GPL (>= 2)

September 20th, 2024

fbps

Sandwich smoother for matrix data

f_sum

Sum computation 1

bayes_fosr

Bayesian Function-on-scalar regression

ff

Construct a function-on-function regression term

f_trace

Trace computation

f_sum4

Sum computation 2

f_sum2

Sum computation 2

.smooth.spec

Basis constructor for PEER terms

expand.call

Return call with all possible arguments

content

The CONTENT child growth study

create.prep.func

Construct a function for preprocessing functional predictors

fgam

Functional Generalized Additive Models

fosr.vs

Function-on Scalar Regression with variable selection

fosr2s

Two-step function-on-scalar regression

fpc

Construct a FPC regression term

ffpc

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

fpca.face

Functional principal component analysis with fast covariance estimation

fosr.perm

Permutation testing for function-on-scalar regression

fosr

Function-on-scalar regression

fpca.lfda

Longitudinal Functional Data Analysis using FPCA

ffpcplot

Plot PC-based function-on-function regression terms

fpca2s

Functional principal component analysis by a two-stage method

fpcr

Functional principal component regression

gasoline

Octane numbers and NIR spectra of gasoline

fpca.sc

Functional principal components analysis by smoothed covariance

getTF

Get recognized transformation function

gibbs_mult_fpca

Multilevel FoSR using a Gibbs sampler and FPCA

fpca.ssvd

Smoothed FPCA via iterative penalized rank one SVDs.

gibbs_mult_wish

Multilevel FoSR using a Gibbs sampler and Wishart prior

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

lpfr

Longitudinal penalized functional regression

mfpca.face

Multilevel functional principal components analysis with fast covariance estimation

lf_old

Construct an FLM regression term

lf.vd

Construct a VDFR regression term

lf

Construct an FLM regression term

gls_cs

Cross-sectional FoSR using GLS

model.matrix.pffr

Obtain model matrix for a pffr fit

mfpca.sc

Multilevel functional principal components analysis by smoothed covariance

lofocv

Leave-one-function-out cross-validation

lpeer

Longitudinal Functional Models with Structured Penalties

pffr.check

Some diagnostics for a fitted pffr model

pffrGLS

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

pco_predict_preprocess

Make predictions using pco basis terms

ols_cs

Cross-sectional FoSR using GLS

pcre

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

peer

Construct a PEER regression term in a

`pfr`

formulapffrSim

Simulate example data for pffr

pfr

Penalized Functional Regression

pfr_old

Penalized Functional Regression (old version)

plot.peer

Plotting of estimated regression functions obtained through

`peer()`

pwcv

Pointwise cross-validation for function-on-scalar regression

plot.lpeer

Plotting of estimated regression functions obtained through

`lpeer()`

predict.fosr.vs

Prediction for Function-on Scalar Regression with variable selection

predict.pffr

Prediction for penalized function-on-function regression

plot.fpcr

Default plotting for functional principal component regression output

qq.pffr

QQ plots for pffr model residuals

plot.pffr

Plot a pffr fit

predict.pfr

Prediction from a fitted pfr model

peer_old

Functional Models with Structured Penalties

pfr_plot.gam

Local version of

`plot.gam`

pffr

Penalized flexible functional regression

plot.pfr

Plot a pfr object

predict.fbps

Prediction for fast bivariate *P*-spline (fbps)

residuals.pffr

Obtain residuals and fitted values for a pffr models

print.summary.pffr

Print method for summary of a pffr fit

sofa

SOFA (Sequential Organ Failure Assessment) Data

smooth.construct.pss.smooth.spec

P-spline constructor with modified 'shrinkage' penalty

plot.fosr

Default plotting of function-on-scalar regression objects

plot.fosr.vs

Plot for Function-on Scalar Regression with variable selection

rlrt.pfr

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

smooth.construct.fpc.smooth.spec

Basis constructor for FPC terms

predict.fgam

Prediction from a fitted FGAM model

predict.fosr

Prediction from a fitted bayes_fosr model

quadWeights

Compute quadrature weights

smooth.construct.pco.smooth.spec

Principal coordinate ridge regression

re

Random effects constructor for fgam

smooth.construct.pcre.smooth.spec

mgcv-style constructor for PC-basis functional random effects

sff

Construct a smooth function-on-function regression term

vis.fgam

Visualization of FGAM objects

smooth.construct.dt.smooth.spec

Domain Transformation basis constructor

vb_mult_fpca

Multilevel FoSR using Variational Bayes and FPCA

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_wish

Multilevel FoSR using Variational Bayes and Wishart prior

smooth.construct.pi.smooth.spec

Parametric Interaction basis constructor

summary.pffr

Summary for a pffr fit

summary.pfr

Summary for a pfr fit

vis.pfr

Visualization of PFR objects

DTI

Diffusion Tensor Imaging: tract profiles and outcomes

PEER.Sim

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

Predict.matrix.fpc.smooth

mgcv-style constructor for prediction of FPC terms

DTI2

Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes

Xt_siginv_X

Internal computation function

Predict.matrix.pi.smooth

Predict.matrix method for pi basis

Predict.matrix.pcre.random.effect

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

COVID19

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

Predict.matrix.dt.smooth

Predict.matrix method for dt basis

Predict.matrix.peer.smooth

mgcv-style constructor for prediction of PEER terms

coefboot.pffr

Simple bootstrap CIs for pffr

coef.pffr

Get estimated coefficients from a pffr fit

ccb.fpc

Corrected confidence bands using functional principal components

af_old

Construct an FGAM regression term

cmdscale_lanczos

Faster multi-dimensional scaling

af

Construct an FGAM regression term

amc

Additive model with constraints

cd4

Observed CD4 cell counts

coefficients.pfr

Extract coefficient functions from a fitted pfr-object