bsplinepen | B-Spline Penalty Matrix |
bsplineS | B-spline Basis Function Values |
cca.2fun.fd | Canonical Correlation for Two Functional Data Objects |
cca.fd | Canonical correlation analysis |
center.fd | Center Functional Data |
create.basis | Create a Basis Object |
create.bifd | Create a Two-Argument Functional Data Object |
create.bspline.basis | Create a set of B-spline basis functions for constructing a functional data object. |
create.constant.basis | Create a Constant Basis |
create.exponential.basis | Create an Exponential Basis |
create.fd | Create a Functional Data Object |
create.fourier.basis | Create a set of Fourier basis functions for constructing a functional data object. |
create.polygonal.basis | Create a Polygonal Basis |
create.power.basis | Create a Power Basis Object |
data2fd | Convert Discrete Data to Functional Data |
densityfd | Compute a Probability Density Function |
derivFd | Compute a Derivative Functional Data Object |
df2lambda | Convert Degrees of Freedom to Smoothing Parameter |
eval.bifd | Evaluate a Two-argument Functional Data Object |
eval.fd | Evaluate a Functional Data Object |
eval.monfd | Evaluate a Monotone Functional Data Object |
expon | Exponential Basis Function Values |
exponpen | Exponential Penalty Matrix |
fourier | Fourier Basis Function Values |
fourierpen | Fourier Penalty Matrix |
getbasis | Get the Basis Object from a Functional Data Object |
getbasismatrix | Get Values of Basis Functions |
getbasispenalty | Evaluate a Roughness Penalty Matrix |
getbasistype | Get the Basis Type from a Basis Object |
getcoef | Get the Coefficient Array from a Functional Data Object |
inprod | Inner product of two functional data objects or two basis objects |
lambda2df | Convert Smoothing Parameter to Degrees of Freedom |
landmarkreg | Registration of Functional Observations Using Landmarks |
linesFd | Add Lines from Functional Data to a Plot |
linmod.fd | Fit One of Three Types of Functional Linear Model. |
meanFd | Mean of Functional Data |
pca.fd | Functional Principal Components Analysis |
plotCcaFd | Plot Output from Canonical Correlation Function CCA.FD |
plotFd | Plot a Functional Data Object |
plotfit.fd | Plot a Functional Data Object Along with Data |
plotPcaFd | Plot Output from Principal Components Analysis Function PCA.FD |
polyg | Polygonal Basis Function Values |
polygpen | Polygonal Penalty Matrix |
posfd | Smooth Data with a Positive Function using a Roughness Penalty |
powerbasis | Power Basis Function Values |
powerpen | Power Penalty Matrix |
printFd | Print a Functional Data Object |
project.basis | Approximate Functional Data Using a Basis |
registerfd | Register Functional Data Objects |
smooth.basis | Smooth Data using a Roughness Penalty |
smooth.fd | Smooth a Functional Data Object Using a Roughness Penalty |
smooth.monotone | Monotone Smoothing of Data |
smooth.Pspline | Smooth Data with Using mth Derivative Penalty |
std.fd | Standard Deviation of Functional Data |
sumFd | Sum of Functional Data |
summaryFd | Summarize a Functional Data Object |
var.fd | Variance and Covariance Surfaces for a Functional Data Object |
varmx.pca.fd | Rotation of Functional Principal Components with VARIMAX Criterion |
warpsmth | A Smooth Monotone Warping Function |