Internal computation function
Predict.matrix.peer.smooth
mgcv-style constructor for prediction of PEER terms
Predict.matrix method for pi basis
Predict.matrix.fpc.smooth
mgcv-style constructor for prediction of FPC terms
Diffusion Tensor Imaging: more fractional anisotropy profiles and outcomes
Diffusion Tensor Imaging: tract profiles and outcomes
Construct an FGAM regression term
Construct an FGAM regression term
Additive model with constraints
Simulated longitudinal data with functional predictor and scalar response,
and structural information associated with predictor function
Predict.matrix.pcre.random.effect
mgcv-style constructor for prediction of PC-basis functional random effects
Predict.matrix method for dt basis
Observed CD4 cell counts
Extract coefficient functions from a fitted pfr-object
Corrected confidence bands using functional principal components
Return call with all possible arguments
Bayesian Function-on-scalar regression
Faster multi-dimensional scaling
Get estimated coefficients from a pffr fit
Plot PC-based function-on-function regression terms
Sum computation 1
Get recognized transformation function
Cross-sectional FoSR using a Gibbs sampler and FPCA
Simple bootstrap CIs for pffr
Sum computation 2
pffr-constructor for functional principal component-based functional random intercepts.
Multilevel FoSR using a Gibbs sampler and Wishart prior
Function-on-scalar regression
Permutation testing for function-on-scalar regression
Sum computation 2
Cross-sectional FoSR using GLS
Functional Generalized Additive Models
Cross-sectional FoSR using GLS
Smoothed FPCA via iterative penalized rank one SVDs.
Construct a PEER regression term in a pfr
formula
Construct a function-on-function regression term
Make predictions using pco basis terms
Prediction from a fitted FGAM model
Functional Models with Structured Penalties
Prediction from a fitted bayes_fosr model
Penalized flexible functional regression
Prediction from a fitted pfr model
Construct an FLM regression term
Functional principal component analysis by a two-stage method
Construct a function for preprocessing functional predictors
Construct a PC-based function-on-function regression term
Cross-sectional FoSR using a Gibbs sampler and Wishart prior
Multilevel FoSR using a Gibbs sampler and FPCA
Longitudinal Functional Data Analysis using FPCA
Functional principal components analysis by smoothed covariance
Construct a FPC regression term
Construct an FLM regression term
Plot a pfr object
Prediction for fast bivariate P -spline (fbps)
Leave-one-function-out cross-validation
Print method for summary of a pffr fit
Construct a VDFR regression term
smooth.construct.pi.smooth.spec
Parametric Interaction basis constructor
smooth.construct.pss.smooth.spec
P-spline constructor with modified 'shrinkage' penalty
Multilevel FoSR using Variational Bayes and Wishart prior
Longitudinal Functional Models with Structured Penalties
Longitudinal penalized functional regression
Sandwich smoother for matrix data
Function-on Scalar Regression with variable selection
Trace computation
Two-step function-on-scalar regression
Plot for Function-on Scalar Regression with variable selection
Prediction for penalized function-on-function regression
Prediction for Function-on Scalar Regression with variable selection
Default plotting of function-on-scalar regression objects
Visualization of FGAM objects
Simulate example data for pffr
Penalized Functional Regression (old version)
Some diagnostics for a fitted pffr model
Multilevel functional principal components analysis by smoothed covariance
Default plotting for functional principal component regression output
Functional principal component regression
Obtain model matrix for a pffr fit
Penalized Functional Regression
Functional principal component analysis with fast covariance estimation
Construct a smooth function-on-function regression term
Octane numbers and NIR spectra of gasoline
Penalized function-on-function regression with non-i.i.d. residuals
smooth.construct.dt.smooth.spec
Domain Transformation basis constructor
Plot a pffr fit
Regression with Functional Data
Internal functions for the refund package
Plotting of estimated regression functions obtained through peer()
Obtain residuals and fitted values for a pffr models
Summary for a pfr fit
SOFA (Sequential Organ Failure Assessment) Data
Summary for a pffr fit
Likelihood Ratio Test and Restricted Likelihood Ratio Test for inference of
functional predictors
Local version of plot.gam
Plotting of estimated regression functions obtained through lpeer()
Cross-sectional FoSR using Variational Bayes and FPCA
Pointwise cross-validation for function-on-scalar regression
QQ plots for pffr model residuals
Compute quadrature weights
Random effects constructor for fgam
smooth.construct.peer.smooth.spec
Basis constructor for PEER terms
smooth.construct.pcre.smooth.spec
mgcv-style constructor for PC-basis functional random effects
Visualization of PFR objects
smooth.construct.fpc.smooth.spec
Basis constructor for FPC terms
smooth.construct.pco.smooth.spec
Principal coordinate ridge regression
Multilevel FoSR using Variational Bayes and FPCA
Cross-sectional FoSR using Variational Bayes and Wishart prior