fdapace-package |
PACE: Principal Analysis by Conditional Expectation |
CheckData |
Check data format |
CheckOptions |
Check option format |
CreateBWPlot |
Functional Principal Component Analysis Bandwidth Diagnostics plot |
CreateCovPlot |
Create the covariance surface plot based on the results from FPCA() or FPCder(). |
CreateDesignPlot |
Create the design plot of the functional data. |
CreateDiagnosticsPlot |
Functional Principal Component Analysis Diagnostics plot |
CreateFuncBoxPlot |
Create functional boxplot using 'bagplot', 'KDE' or 'pointwise' methodology |
CreateModeOfVarPlot |
Functional Principal Component Analysis mode of variation plot |
CreateOutliersPlot |
Functional Principal Component Scores Plot using 'bagplot' or 'KDE' methodology |
CreatePathPlot |
Create the sample path plot based on the results from FPCA(). |
CreateScreePlot |
Create the scree plot for the fitted eigenvalues |
FCReg |
Functional Principal Component Analysis Concurrent Regression with Functional dependent variable |
fdapace |
PACE: Principal Analysis by Conditional Expectation |
fitted.FPCA |
Fitted functional sample from FPCA object |
FPCA |
Functional Principal Component Analysis |
FPCAder |
Take derivative of an FPCA object |
FVPA |
Functional Variance Process Analysis for sparse or dense functional data |
GetCrCorYX |
Make cross-correlation matrix from auto- and cross-covariance matrix |
GetCrCorYZ |
Make cross-correlation matrix from auto- and cross-covariance matrix |
GetCrCovYX |
Functional Cross Covariance between longitudinal variable Y and longitudinal variable X |
GetCrCovYZ |
Functional Cross Covariance between longitudinal variable Y and scalar variable Z |
GetNormalisedSample |
Normalise sparse functional sample |
HandleNumericsAndNAN |
Check if NaN are present in the data and if yes remove them |
Lwls1D |
One dimensional local linear kernel smoother |
Lwls2D |
Two dimensional local linear kernel smoother. |
MakeBWtoZscore02y |
Z-score body-weight for age 0 to 24 months based on WHO standards |
MakeFPCAInputs |
Format FPCA input |
MakeHCtoZscore02y |
Z-score head-circumference for age 0 to 24 months based on WHO standards |
MakeLNtoZscore02y |
Z-score height for age 0 to 24 months based on WHO standards |
medfly25 |
Number of eggs laid daily from medflies |
plot.FPCA |
Plot an FPCA object. |
print.FPCA |
Print an FPCA object |
SelectK |
Selects number of functional principal components for given FPCA output and selection criteria |
SetOptions |
Set the PCA option list |
Sparsify |
Sparsify densely observed functional data |
Wiener |
Simulate standard Wiener processes (Brownian motions) |