| AmpPhaseDecomp | Decomposition for Amplitude and Phase Variation |
| arithmetic.basisfd | Arithmatic on functional basis objects |
| arithmetic.fd | Arithmetic on functional data ('fd') objects |
| as.array3 | Reshape a vector or array to have 3 dimensions. |
| as.fd | Convert a spline object to class 'fd' |
| as.POSIXct1970 | 'as.POXIXct' for number of seconds since the start of 1970. |
| axisIntervals | Mark Intervals on a Plot Axis |
| basisfd | Define a Functional Basis Object |
| basisfd.product | Product of two basisfd objects |
| bifd | Create a bivariate functional data object |
| bifdPar | Define a Bivariate Functional Parameter Object |
| bsplinepen | B-Spline Penalty Matrix |
| bsplineS | B-spline Basis Function Values |
| CanadianWeather | Canadian average annual weather cycle |
| cca.fd | Functional Canonical Correlation Analysis |
| center.fd | Center Functional Data |
| checkDims3 | Compare dimensions and dimnames of arrays |
| checkLogicalInteger | Does an argument satisfy required conditions? |
| coef | Extract functional coefficients |
| cor.fd | Correlation matrix from functional data object(s) |
| covPACE | Estimate of the covariance surface |
| CRAN | Test if running as CRAN |
| create.basis | Create Basis Set for Functional Data Analysis |
| create.bspline.basis | Create a B-spline Basis |
| create.constant.basis | Create a Constant Basis |
| create.exponential.basis | Create an Exponential Basis |
| create.fourier.basis | Create a Fourier Basis |
| create.monomial.basis | Create a Monomial Basis |
| create.polygonal.basis | Create a Polygonal Basis |
| create.power.basis | Create a Power Basis Object |
| CSTR | Continuously Stirred Tank Reactor |
| cumfd | Compute a Cumulative Distribution Functional Data Object |
| cycleplot.fd | Plot Cycles for a Periodic Bivariate Functional Data Object |
| Data2fd | Create a functional data object from data |
| dateAccessories | Numeric and character vectors to facilitate working with... |
| density.fd | Compute a Probability Density Function |
| deriv.fd | Compute a Derivative of a Functional Data Object |
| df2lambda | Convert Degrees of Freedom to a Smoothing Parameter Value |
| df.residual.fRegress | Degrees of Freedom for Residuals from a Functional Regression |
| dirs | Get subdirectories |
| Eigen | Eigenanalysis preserving dimnames |
| eigen.pda | Stability Analysis for Principle Differential Analysis |
| ElectricDemand | Predicting electricity demand in Adelaide from temperature |
| eval.basis | Values of Basis Functions or their Derivatives |
| eval.bifd | Values a Two-argument Functional Data Object |
| evaldiag.bifd | Evaluate the Diagonal of a Bivariate Functional Data Object |
| eval.fd | Values of a Functional Data Object |
| eval.monfd | Values of a Monotone Functional Data Object |
| eval.penalty | Evaluate a Basis Penalty Matrix |
| eval.posfd | Evaluate a Positive Functional Data Object |
| eval.surp | Values of a Functional Data Object Defining Surprisal Curves. |
| expon | Exponential Basis Function Values |
| exponentiate.fd | Powers of a functional data ('fd') object |
| exponpen | Exponential Penalty Matrix |
| fbplot | Functional Boxplots |
| fd | Define a Functional Data Object |
| fd2list | Convert a univariate functional data object to a list |
| fda-package | Functions for statistical analyses of functions |
| fdlabels | Extract plot labels and names for replicates and variables |
| fdPar | Define a Functional Parameter Object |
| fdParcheck | Convert 'fd' or 'basisfd' Objects to 'fdPar' Objects |
| fourier | Fourier Basis Function Values |
| fourierpen | Fourier Penalty Matrix |
| Fperm.fd | Permutation F-test for functional linear regression. |
| fRegress | Functional Regression Analysis |
| fRegress.CV | Computes Cross-validated Error Sum of Integrated Squared... |
| fRegress.stderr | Compute Standard errors of Coefficient Functions Estimated by... |
| Fstat.fd | F-statistic for functional linear regression. |
| gait | Hip and knee angle while walking |
| geigen | Generalized eigenanalysis |
| getbasismatrix | Values of Basis Functions or their Derivatives |
| getbasispenalty | Evaluate a Roughness Penalty Matrix |
| getbasisrange | Extract the range from a basis object |
| growth | Berkeley Growth Study data |
| handwrit | Cursive handwriting samples |
| infantGrowth | Tibia Length for One Baby |
| inprod | Inner products of Functional Data Objects. |
| inprod.Bspline | Compute Inner Products B-spline Expansions. |
| int2Lfd | Convert Integer to Linear Differential Operator |
| intensity.fd | Intensity Function for Point Process |
| is.basis | Confirm Object is Class "Basisfd" |
| is.eqbasis | Confirm that two objects of class "Basisfd" are identical |
| is.fd | Confirm Object has Class "fd" |
| is.fdPar | Confirm Object has Class "fdPar" |
| is.fdSmooth | Confirm Object has Class "fdSmooth" |
| is.Lfd | Confirm Object has Class "Lfd" |
| knots.fd | Extract the knots from a function basis or data object |
| lambda2df | Convert Smoothing Parameter to Degrees of Freedom |
| lambda2gcv | Compute GCV Criterion |
| landmarkreg | Landmark Registration of Functional Observations with... |
| Lfd | Define a Linear Differential Operator Object |
| lines.fd | Add Lines from Functional Data to a Plot |
| linmod | Fit Fully Functional Linear Model |
| lip | Lip motion |
| lnsrch | Search along a line for a minimum within an optimisation... |
| matplot | Plot Columns of Matrices |
| mean.fd | Mean of Functional Data |
| melanoma | melanoma 1936-1972 |
| monfn | Evaluate the a monotone function |
| mongrad | Evaluate the gradient of a monotone function |
| monhess | Evaluate the Hessian matrix of a monotone function |
| monomial | Evaluate Monomial Basis |
| monomialpen | Evaluate Monomial Roughness Penalty Matrix |
| MontrealTemp | Montreal Daily Temperature |
| nondurables | Nondurable goods index |
| norder | Order of a B-spline |
| objAndNames | Add names to an object |
| odesolv | Numerical Solution mth Order Differential Equation System |
| pca.fd | Functional Principal Components Analysis |
| pcaPACE | Estimate the functional principal components |
| pda.fd | Principal Differential Analysis |
| pda.overlay | Stability Analysis for Principle Differential Analysis |
| phaseplanePlot | Phase-plane plot |
| pinch | pinch force data |
| plot.basisfd | Plot a Basis Object |
| plotbeta | Plot a functional parameter object with confidence limits |
| plot.cca.fd | Plot Functional Canonical Correlation Weight Functions |
| plot.fd | Plot a Functional Data Object |
| plotfit.fd | Plot a Functional Data Object With Data |
| plot.Lfd | Plot a Linear Differential Operator Object |
| plot.pca.fd | Plot Functional Principal Components |
| plot.pda.fd | Plot Principle Differential Analysis Components |
| plotscores | Plot Principal Component Scores |
| polintmat | Polynomial extrapolation for a converging sequence of one or... |
| polyg | Polygonal Basis Function Values |
| polygpen | Polygonal Penalty Matrix |
| powerbasis | Power Basis Function Values |
| powerpen | Power Penalty Matrix |
| ppBspline | Convert a B-spline function to piece-wise polynomial form |
| predict.fRegress | Predict method for Functional Regression |
| project.basis | Approximate Functional Data Using a Basis |
| quadset | Quadrature points and weights for Simpson's rule |
| reconsCurves | Reconstruct data curves using functional principal components |
| refinery | Reflux and tray level in a refinery |
| ReginaPrecip | Regina Daily Precipitation |
| register.fd | Register Functional Data Objects Using a Continuous Criterion |
| register.newfd | Register Functional Data Objects with Pre-Computed Warping... |
| scoresPACE | Estimates of functional Principal Component scores through... |
| sd | Standard Deviation of Functional Data |
| seabird | Sea Bird Counts |
| smooth.basis | Construct a functional data object by smoothing data using a... |
| smooth.basisPar | Smooth Data Using a Directly Specified Roughness Penalty |
| smooth.basis.sparse | Construct a functional data object by smoothing data using a... |
| smooth.bibasis | Smooth a discrete surface over a rectangular lattice |
| smooth.fd | Smooth a Functional Data Object Using an Indirectly Specified... |
| smooth.fdPar | Smooth a functional data object using a directly specified... |
| smooth.monotone | Monotone Smoothing of Data |
| smooth.morph | Estimates a Smooth Warping Function Mapping an Interval into... |
| smooth.pos | Smooth Data with a Positive Function |
| smooth.sparse.mean | Smooth the mean function of sparse data |
| smooth.surp | Fit data with surprisal smoothing. |
| sparse.list | Creates a list of sparse data from a matrix |
| sparse.mat | Creates a matrix of sparse data with NAs out of a list |
| stepchk | Check a step size value for being within parameter limits. |
| stepit | Compute a new step size for a linear search within an... |
| sum.fd | Sum of Functional Data |
| summary.basisfd | Summarize a Functional Data Object |
| summary.bifd | Summarize a Bivariate Functional Data Object |
| summary.fd | Summarize a Functional Data Object |
| summary.fdPar | Summarize a Functional Parameter Object |
| summary.Lfd | Summarize a Linear Differential Operator Object |
| surp.fit | Evaluate the fit of surprisal curves to binned psychometric... |
| symsolve | solve(A, B) where A is symmetric |
| tperm.fd | Permutation t-test for two groups of functional data objects. |
| trapzmat | Approximate the functional inner product of two functional... |
| var.fd | Variance, Covariance, and Correlation Surfaces for Functional... |
| varmx | Rotate a Matrix of Component Loadings using the VARIMAX... |
| varmx.cca.fd | Rotation of Functional Canonical Components with VARIMAX |
| varmx.pca.fd | Rotation of Functional Principal Components with VARIMAX... |
| vec2Lfd | Make a Linear Differential Operator Object from a Vector |
| wtcheck | Check a vector of weights |
| ycheck | Check Data Arrays for Smoothing Functions |
| zerobasis | Orthonormal Matrix with Columns Summing to Zero |
| zerofind | Does the range of the input contain 0? |
