Functional Data Analysis and Empirical Dynamics

BwNN | Minimum bandwidth based on kNN criterion. |

CheckData | Check data format |

CheckOptions | Check option format |

ConvertSupport | Convert support of a mu/phi/cov etc. to and from obsGrid and... |

CreateBasis | Create an orthogonal basis of K functions in [0, 1], with... |

CreateBWPlot | Functional Principal Component Analysis Bandwidth Diagnostics... |

CreateCovPlot | Creates a correlation surface plot based on the results from... |

CreateDesignPlot | Create design plots for functional data. See Yao, F., Müller,... |

CreateFuncBoxPlot | Create functional boxplot using 'bagplot', 'KDE' or... |

CreateModeOfVarPlot | Functional Principal Component Analysis: Mode of variation... |

CreateOutliersPlot | Functional Principal Component or Functional Singular Value... |

CreatePathPlot | Create the fitted sample path plot based on the results from... |

CreateScreePlot | Create the scree plot for the fitted eigenvalues |

CreateStringingPlot | Create plots for observed and stringed high dimensional data |

cumtrapzRcpp | Cumulative Trapezoid Rule Numerical Integration |

DynCorr | Dynamical Correlation |

Dyn_test | Bootstrap test of Dynamic Correlation |

FAM | Functional Additive Models |

FCCor | Calculation of functional correlation between two... |

FClust | Functional clustering and identifying substructures of... |

FCReg | Functional Concurrent Regression using 2D smoothing |

fdapace | fdapace: Principal Analysis by Conditional Expectation and... |

fitted.FPCA | Fitted functional data from FPCA object |

fitted.FPCAder | Fitted functional data for derivatives from the FPCAder... |

FLM | Functional Linear Models |

FOptDes | Optimal Designs for Functional and Longitudinal Data for... |

FPCA | Functional Principal Component Analysis |

FPCAder | Obtain the derivatives of eigenfunctions/ eigenfunctions of... |

FPCquantile | Conditional Quantile estimation with functional covariates |

FSVD | Functional Singular Value Decomposition |

FVPA | Functional Variance Process Analysis for dense functional... |

GetCovSurface | Covariance Surface |

GetCrCorYX | Create cross-correlation matrix from auto- and... |

GetCrCorYZ | Create cross-correlation matrix from auto- and... |

GetCrCovYX | Functional Cross Covariance between longitudinal variable Y... |

GetCrCovYZ | Functional Cross Covariance between longitudinal variable Y... |

GetMeanCI | Bootstrap pointwise confidence intervals for the mean... |

GetMeanCurve | Mean Curve |

GetNormalisedSample | Normalise sparse multivariate functional data |

kCFC | Functional clustering and identifying substructures of... |

Lwls1D | One dimensional local linear kernel smoother |

Lwls2D | Two dimensional local linear kernel smoother. |

Lwls2DDeriv | Two dimensional local linear kernel smoother to target... |

MakeBWtoZscore02y | Z-score body-weight for age 0 to 24 months based on WHO... |

MakeFPCAInputs | Format FPCA input |

MakeGPFunctionalData | Create a Dense Functional Data sample for a Gaussian process |

MakeHCtoZscore02y | Z-score head-circumference for age 0 to 24 months based on... |

MakeLNtoZscore02y | Z-score height for age 0 to 24 months based on WHO standards |

MakeSparseGP | Create a sparse Functional Data sample for a Gaussian Process |

medfly25 | Number of eggs laid daily from medflies |

MultiFAM | Functional Additive Models with Multiple Predictor Processes |

NormCurvToArea | Normalise a curve to a particular area, by multiplication... |

plot.FPCA | Functional Principal Component Analysis Diagnostics plot |

predict.FPCA | Predict FPC scores and curves for a new sample given an FPCA... |

print.FPCA | Print an FPCA object |

print.FSVD | Print an FSVD object |

print.WFDA | Print a WFDA object |

SBFitting | Iterative Smooth Backfitting Algorithm |

SelectK | Selects number of functional principal components for given... |

SetOptions | Set the PCA option list |

Sparsify | Sparsify densely observed functional data |

str.FPCA | Compactly display the structure of an FPCA object |

Stringing | Stringing for High-Dimensional data |

trapzRcpp | Trapezoid Rule Numerical Integration |

TVAM | Iterative Smooth Backfitting Algorithm |

VCAM | Sieve estimation: B-spline based estimation procedure for... |

WFDA | Time-Warping in Functional Data Analysis: Pairwise curve... |

Wiener | Simulate a standard Wiener processes (Brownian motions) |

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