AKer.cos                Asymmetric Cosine Kernel
AKer.epa                Asymmetric Epanechnikov Kernel
AKer.norm               Asymmetric Normal Kernel
AKer.quar               Asymmetric Quartic Kernel
AKer.tri                Asymmetric Triweight Kernel
AKer.unif               Asymmetric Uniform Kernel
CV.S                    Cross-Validation for Smoother Selection
GCV.S                   Generalized Cross-Validation for Smoother
                        Selection
IKer.cos                Integrated Cosine Kernel
IKer.epa                Integrated Epanechnikov Kernel
IKer.norm               Integrated Normal Kernel
IKer.quar               Integrated Quartic Kernel
IKer.tri                Integrated Triweight Kernel
IKer.unif               Integrated Uniform Kernel
Ker.cos                 Cosine Kernel
Ker.epa                 Epanechnikov Kernel
Ker.norm                Kernel Functions
Ker.quar                Quartic (Biweight) Kernel
Ker.tri                 Triweight Kernel
Ker.unif                Uniform (Rectangular) Kernel
Kernel                  Unified Symmetric Kernel Interface
Kernel.asymmetric       Unified Asymmetric Kernel Interface
Kernel.integrate        Unified Integrated Kernel Interface
Ops.fdata               Arithmetic Operations for Functional Data
S.KNN                   K-Nearest Neighbors Smoother Matrix
S.LCR                   Local Cubic Regression Smoother Matrix
S.LLR                   Local Linear Regression Smoother Matrix
S.LPR                   Local Polynomial Regression Smoother Matrix
S.NW                    Smoothing Functions for Functional Data
[.fdata                 Subset method for fdata objects
[.irregFdata            Subset method for irregFdata objects
addError                Add Measurement Error to Functional Data
analyze.peak.timing     Analyze Peak Timing Variability
as.fdata.irregFdata     Convert Irregular Functional Data to Regular
                        Grid
autoperiod              Autoperiod: Hybrid FFT + ACF Period Detection
autoplot.fdata          Create a ggplot for fdata objects
autoplot.irregFdata     Autoplot method for irregFdata objects
basis.aic               AIC for Basis Representation
basis.bic               BIC for Basis Representation
basis.gcv               GCV Score for Basis Representation
basis2fdata             Basis Representation Functions for Functional
                        Data
basis2fdata_2d          Reconstruct 2D Functional Data from Tensor
                        Product Basis Coefficients
boxplot.fdata           Functional Boxplot
cfd.autoperiod          CFDAutoperiod: Clustered Filtered Detrended
                        Autoperiod
classify.seasonality    Classify Seasonality Type
cluster.fcm             Fuzzy C-Means Clustering for Functional Data
cluster.init            K-Means++ Center Initialization
cluster.kmeans          Clustering Functions for Functional Data
cluster.optim           Optimal Number of Clusters for Functional
                        K-Means
cov                     Functional Covariance Function
decompose               Seasonal-Trend Decomposition
depth                   Depth Functions for Functional Data
depth.BD                Band Depth
depth.FM                Fraiman-Muniz Depth
depth.FSD               Functional Spatial Depth
depth.KFSD              Kernel Functional Spatial Depth
depth.MBD               Modified Band Depth
depth.MEI               Modified Epigraph Index
depth.RP                Random Projection Depth
depth.RPD               Random Projection Depth with Derivatives
depth.RT                Random Tukey Depth
depth.mode              Modal Depth
deriv                   Compute functional derivative
detect.peaks            Detect Peaks in Functional Data
detect.period           Seasonal Analysis Functions for Functional Data
detect.periods          Detect Multiple Concurrent Periods
detect.seasonality.changes
                        Detect Changes in Seasonality
detect.seasonality.changes.auto
                        Detect Seasonality Changes with Automatic
                        Threshold
detect_amplitude_modulation
                        Detect Amplitude Modulation in Seasonal Time
                        Series
detrend                 Remove Trend from Functional Data
df_to_fdata2d           Convert DataFrame to 2D functional data
eFun                    Generate Eigenfunction Basis
eVal                    Generate Eigenvalue Sequence
estimate.period         Estimate Seasonal Period using FFT
fdata                   Create a functional data object
fdata.bootstrap         Bootstrap Functional Data
fdata.bootstrap.ci      Bootstrap Confidence Intervals for Functional
                        Statistics
fdata.cen               Center functional data
fdata2basis             Convert Functional Data to Basis Coefficients
fdata2basis_2d          Convert 2D Functional Data to Tensor Product
                        Basis Coefficients
fdata2basis_cv          Cross-Validation for Basis Function Number
                        Selection
fdata2fd                Convert Functional Data to fd class
fdata2pc                Convert Functional Data to Principal Component
                        Scores
fdata2pls               Convert Functional Data to PLS Scores
fequiv.test             Functional Equivalence Test (TOST)
flm.test                Statistical Tests for Functional Data
fmean.test.fdata        Test for Equality of Functional Means
fregre.basis            Functional Basis Regression
fregre.basis.cv         Cross-Validation for Functional Basis
                        Regression
fregre.np               Nonparametric Functional Regression
fregre.np.cv            Cross-Validation for Nonparametric Functional
                        Regression
fregre.np.multi         Nonparametric Regression with Multiple
                        Functional Predictors
fregre.pc               Functional Regression
fregre.pc.cv            Cross-Validation for Functional PC Regression
gmed                    Geometric Median of Functional Data
group.distance          Compute Distance/Similarity Between Groups of
                        Functional Data
group.test              Permutation Test for Group Differences
h.default               Default Bandwidth
inprod.fdata            Inner Product of Functional Data
instantaneous.period    Estimate Instantaneous Period
int.simpson.irregFdata
                        Utility Functions for Functional Data Analysis
irregFdata              Create an Irregular Functional Data Object
is.irregular            Check if an Object is Irregular Functional Data
kernel.add              Add Covariance Functions
kernel.brownian         Brownian Motion Covariance Function
kernel.exponential      Exponential Covariance Function
kernel.gaussian         Gaussian (Squared Exponential) Covariance
                        Function
kernel.linear           Linear Covariance Function
kernel.matern           Matern Covariance Function
kernel.mult             Multiply Covariance Functions
kernel.periodic         Periodic Covariance Function
kernel.polynomial       Polynomial Covariance Function
kernel.whitenoise       White Noise Covariance Function
kernels                 Covariance Kernel Functions for Gaussian
                        Processes
localavg.fdata          Local Averages Feature Extraction
lomb.scargle            Lomb-Scargle Periodogram
magnitudeshape          Magnitude-Shape Outlier Detection for
                        Functional Data
make.gaussian.process   Generate Gaussian Process Samples
matrix.profile          Matrix Profile for Motif Discovery and Period
                        Detection
mean.fdata              Compute functional mean
mean.irregFdata         Estimate Mean Function for Irregular Data
median                  Compute Functional Median
metric                  Distance Metrics for Functional Data
metric.DTW              Dynamic Time Warping for Functional Data
metric.hausdorff        Hausdorff Metric for Functional Data
metric.kl               Kullback-Leibler Divergence Metric for
                        Functional Data
metric.lp.irregFdata    Lp Metric for Functional Data
norm                    Compute Lp Norm of Functional Data
normalize               Normalize functional data
optim.np                Optimize Bandwidth Using Cross-Validation
outliergram             Outliergram for Functional Data
outliers.boxplot        Outlier Detection using Functional Boxplot
outliers.depth.pond     Outlier Detection for Functional Data
outliers.depth.trim     Outlier Detection using Trimmed Depth
outliers.lrt            LRT-based Outlier Detection for Functional Data
outliers.thres.lrt      LRT Outlier Detection Threshold
plot.amplitude_modulation
                        Plot method for amplitude_modulation objects
plot.basis.auto         Plot method for basis.auto objects
plot.basis.cv           Plot method for basis.cv objects
plot.cluster.fcm        Plot Method for cluster.fcm Objects
plot.cluster.kmeans     Plot Method for cluster.kmeans Objects
plot.cluster.optim      Plot Method for cluster.optim Objects
plot.fdata              Plot method for fdata objects
plot.fdata2pc           Plot FPCA Results
plot.fequiv.test        Plot method for fequiv.test
plot.group.distance     Plot method for group.distance
plot.irregFdata         Plot method for irregFdata objects
plot.lomb_scargle_result
                        Plot method for lomb_scargle_result objects
plot.magnitudeshape     Plot Method for magnitudeshape Objects
plot.matrix_profile_result
                        Plot method for matrix_profile_result objects
plot.outliergram        Plot Method for Outliergram Objects
plot.outliers.fdata     Plot method for outliers.fdata objects
plot.pspline            Plot method for pspline objects
plot.pspline.2d         Plot method for pspline.2d objects
plot.register.fd        Plot Method for register.fd Objects
plot.ssa_result         Plot method for ssa_result objects
plot.stl_result         Plot method for stl_result objects
pred.MAE                Mean Absolute Error
pred.MSE                Mean Squared Error
pred.R2                 R-Squared (Coefficient of Determination)
pred.RMSE               Root Mean Squared Error
predict.fregre.fd       Predict Method for Functional Regression
                        (fregre.fd)
predict.fregre.np       Predict Method for Nonparametric Functional
                        Regression (fregre.np)
predict.fregre.np.multi
                        Predict method for fregre.np.multi
print.amplitude_modulation
                        Print method for amplitude_modulation objects
print.autoperiod_result
                        Print method for autoperiod_result objects
print.basis.auto        Print method for basis.auto objects
print.basis.cv          Print method for basis.cv objects
print.cfd_autoperiod_result
                        Print method for cfd_autoperiod_result objects
print.cluster.fcm       Print Method for cluster.fcm Objects
print.cluster.kmeans    Print Method for cluster.kmeans Objects
print.cluster.optim     Print Method for cluster.optim Objects
print.decomposition     Print method for decomposition objects
print.fbplot            Print Method for fbplot Objects
print.fdata             Print method for fdata objects
print.fdata.bootstrap.ci
                        Print method for bootstrap CI
print.fdata2pc          Print Method for FPCA Results
print.fequiv.test       Print method for fequiv.test
print.fregre.fd         Print method for fregre objects
print.fregre.np         Print method for fregre.np objects
print.fregre.np.multi   Print method for fregre.np.multi
print.group.distance    Print method for group.distance
print.group.test        Print method for group.test
print.irregFdata        Print method for irregFdata objects
print.kernel            Print Method for Covariance Functions
print.lomb_scargle_result
                        Print method for lomb_scargle_result objects
print.magnitudeshape    Print Method for magnitudeshape Objects
print.matrix_profile_result
                        Print method for matrix_profile_result objects
print.multiFunData      Print method for multiFunData objects
print.multiple_periods
                        Print method for multiple_periods objects
print.outliergram       Print Method for Outliergram Objects
print.outliers.fdata    Print method for outliers.fdata objects
print.peak_detection    Print method for peak_detection objects
print.peak_timing       Print method for peak_timing objects
print.period_estimate   Print method for period_estimate objects
print.pspline           Print method for pspline objects
print.pspline.2d        Print method for pspline.2d objects
print.register.fd       Print Method for register.fd Objects
print.sazed_result      Print method for sazed_result objects
print.seasonality_changes
                        Print method for seasonality_changes objects
print.seasonality_changes_auto
                        Print method for seasonality_changes_auto
                        objects
print.seasonality_classification
                        Print method for seasonality_classification
                        objects
print.ssa_result        Print method for ssa_result objects
print.stl_result        Print method for stl_result objects
pspline                 P-spline Smoothing for Functional Data
pspline.2d              P-spline Smoothing for 2D Functional Data
r.bridge                Generate Brownian Bridge
r.brownian              Generate Brownian Motion
r.ou                    Generate Ornstein-Uhlenbeck Process
register.fd             Curve Registration (Alignment)
sazed                   SAZED: Spectral-ACF Zero-crossing Ensemble
                        Detection
scale_minmax            Min-Max scaling for functional data
sd                      Functional Standard Deviation
seasonal.strength       Measure Seasonal Strength
seasonal.strength.curve
                        Time-Varying Seasonal Strength
select.basis.auto       Automatic Per-Curve Basis Type and Number
                        Selection
semimetric.basis        Semi-metric based on Basis Expansion
semimetric.deriv        Semi-metric based on Derivatives
semimetric.fourier      Semi-metric based on Fourier Coefficients (FFT)
semimetric.hshift       Semi-metric based on Horizontal Shift (Time
                        Warping)
semimetric.pca          Semi-metric based on Principal Components
simFunData              Simulate Functional Data via Karhunen-Loeve
                        Expansion
simMultiFunData         Simulate Multivariate Functional Data
sparsify                Convert Regular Functional Data to Irregular by
                        Subsampling
ssa.fd                  Singular Spectrum Analysis (SSA) for Time
                        Series Decomposition
standardize             Standardize functional data (z-score
                        normalization)
stl.fd                  STL Decomposition: Seasonal and Trend
                        decomposition using LOESS
summary.basis.auto      Summary method for basis.auto objects
summary.fdata           Summary method for fdata objects
summary.irregFdata      Summary method for irregFdata objects
trimmed                 Compute Functional Trimmed Mean
trimvar                 Compute Functional Trimmed Variance
var                     Functional Variance
