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 | Create the covariance surface plot based on the results from... |

CreateDesignPlot | Create the design plot of the functional data. |

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 |

FAM | Functional Additive Models |

FCCor | Calculate functional correlation between two simultaneously... |

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

FCReg | Functional Concurrent Regression by 2D smoothing method. |

fdapace | PACE: Principal Analysis by Conditional Expectation |

fitted.FPCA | Fitted functional sample from FPCA object |

fitted.FPCAder | Fitted functional sample from FPCAder object |

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

FPCA | Functional Principal Component Analysis |

FPCAder | Take derivative of an FPCA object |

FPCReg | Function for performing functonal linear regression where the... |

FSVD | Functional Singular Value Decomposition |

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

GetCrCorYX | Make cross-correlation matrix from auto- and cross-covariance... |

GetCrCorYZ | Make cross-correlation matrix from auto- and cross-covariance... |

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

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

GetNormalisedSample | Normalise sparse functional sample |

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 with... |

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

MakeFPCAInputs | Format FPCA input |

MakeGPFunctionalData | Make Gaussian Process Dense Functional Data sample |

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 | Make Gaussian Process Sparse Functional Data sample |

medfly25 | Number of eggs laid daily from medflies |

MultiFAM | Functional Additive Models with Multiple Predictor Processes |

NormCurvToArea | Normalise a curve to a particular area. |

plot.FPCA | Functional Principal Component Analysis Diagnostics plot |

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

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 |

WFDA | Warped Functional DAta Analysis |

Wiener | Simulate standard Wiener processes (Brownian motions) |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.