# Elastic Functional Data Analysis

## Documentation for package ‘fdasrvf’ version 1.9.7

- DESCRIPTION file.
- Package NEWS.

## Help Pages

fdasrvf-package | Elastic Functional Data Analysis
align_fPCA | Group-wise function alignment and PCA Extractions
AmplitudeBoxplot | Amplitude Boxplot
beta | MPEG7 Curve Dataset
bootTB | Tolerance Bound Calculation using Bootstrap Sampling
calc_shape_dist | Elastic Shape Distance
curve_geodesic | Form geodesic between two curves
curve_karcher_cov | Curve Karcher Covariance
curve_karcher_mean | Karcher Mean of Curves
curve_pair_align | Pairwise align two curves
curve_principal_directions | Curve PCA
curve_srvf_align | Align Curves
curve_to_q | Convert to SRVF space
elastic.depth | Calculates elastic depth
elastic.distance | Calculates two elastic distance
elastic.logistic | Elastic Logistic Regression
elastic.lpcr.regression | Elastic logistic Principal Component Regression
elastic.mlogistic | Elastic Multinomial Logistic Regression
elastic.mlpcr.regression | Elastic Multinomial logistic Principal Component Regression
elastic.pcr.regression | Elastic Linear Principal Component Regression
elastic.prediction | Elastic Prediction from Regression Models
elastic.regression | Elastic Linear Regression
fdasrvf | Elastic Functional Data Analysis
function_group_warp_bayes | Bayesian Group Warping
function_mean_bayes | Bayesian Karcher Mean Calculation
f_to_srvf | Convert to SRSF
gauss_model | Gaussian model of functional data
gradient | Gradient using finite differences
growth_vel | Berkley Growth Velocity Dataset
horizFPCA | Horizontal Functional Principal Component Analysis
im | Example Image Data set
invertGamma | Invert Warping Function
jointFPCA | Joint Vertical and Horizontal Functional Principal Component Analysis
joint_gauss_model | Gaussian model of functional data using joint Model
kmeans_align | K-Means Clustering and Alignment
multiple_align_functions | Group-wise function alignment to specified mean
optimum.reparam | Align two functions
outlier.detection | Outlier Detection
pair_align_functions | Align two functions
pair_align_functions_bayes | Align two functions
pair_align_functions_expomap | Align two functions using geometric properties of warping functions
pair_align_image | Pairwise align two images This function aligns to images using the q-map framework
pcaTB | Tolerance Bound Calculation using Elastic Functional PCA
PhaseBoxplot | Phase Boxplot
predict.lpcr | Elastic Prediction for functional logistic PCR Model
predict.mlpcr | Elastic Prediction for functional multinomial logistic PCR Model
predict.pcr | Elastic Prediction for functional PCR Model
q_to_curve | Convert to curve space
reparam_curve | Align two curves
reparam_image | Find optimum reparameterization between two images
resamplecurve | Resample Curve
rgam | Random Warping
sample_shapes | Sample shapes from model
simu_data | Simulated two Gaussian Dataset
simu_warp | Aligned Simulated two Gaussian Dataset
simu_warp_median | Aligned Simulated two Gaussian Dataset using Median
smooth.data | Smooth Functions
SqrtMean | SRVF transform of warping functions
SqrtMedian | SRVF transform of warping functions
srvf_to_f | Convert SRVF to f
time_warping | Group-wise function alignment
toy_data | Distributed Gaussian Peak Dataset
toy_warp | Aligned Distributed Gaussian Peak Dataset
vertFPCA | Vertical Functional Principal Component Analysis
warp_f_gamma | Warp Function
warp_q_gamma | Warp SRSF