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