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refund (version 0.1-37)
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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Install
install.packages('refund')
Monthly Downloads
2,704
Version
0.1-37
License
GPL (>= 2)
Issues
40
Pull Requests
1
Stars
39
Forks
23
Repository
https://github.com/refunders/refund
Maintainer
Julia Wrobel
Last Published
September 20th, 2024
Functions in refund (0.1-37)
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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
formula
pffrSim
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