A B C D E F G H I J K L M O P Q R S T V W
| fdasrvf-package | Elastic Functional Data Analysis | 
| align_fPCA | Group-wise function alignment and PCA Extractions | 
| beta | MPEG7 Curve Dataset | 
| bootTB | Tolerance Bound Calculation using Bootstrap Sampling | 
| boxplot.ampbox | Functional Boxplot | 
| boxplot.curvebox | Functional Boxplot | 
| boxplot.fdawarp | Functional Boxplot | 
| boxplot.phbox | Functional Boxplot | 
| calc_shape_dist | Elastic Shape Distance | 
| curve2srvf | Converts a curve to its SRVF representation | 
| curve_boxplot | Curve Boxplot | 
| curve_depth | Calculates elastic depth for a set of curves | 
| curve_dist | Distance Matrix Computation | 
| curve_geodesic | Form geodesic between two curves | 
| curve_pair_align | Pairwise align two curves | 
| curve_to_q | Curve to SRVF Space | 
| discrete2curve | Converts a curve from matrix to functional data object | 
| discrete2warping | Converts a warping function from vector to functional data object | 
| 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 | 
| elastic_amp_change_ff | Elastic Amplitude Changepoint Detection | 
| elastic_change_fpca | Elastic Changepoint Detection | 
| elastic_ph_change_ff | Elastic Phase Changepoint Detection | 
| fdasrvf | Elastic Functional Data Analysis | 
| function_group_warp_bayes | Bayesian Group Warping | 
| function_mean_bayes | Bayesian Karcher Mean Calculation | 
| f_plot | Plot functional data | 
| f_to_srvf | Transformation to SRVF Space | 
| gam_to_h | map warping function to tangent space at identity | 
| gam_to_psi | map warping function to Hilbert Sphere | 
| gam_to_v | map warping function to tangent space at identity | 
| gauss_model | Gaussian model of functional data | 
| get_curve_centroid | Computes the centroid of a curve | 
| get_distance_matrix | Computes the distance matrix between a set of shapes. | 
| get_hilbert_sphere_distance | Computes the geodesic distance between two SRVFs on the Hilbert sphere | 
| get_identity_warping | Computes the identity warping function | 
| get_l2_distance | Computes the L^2 distance between two SRVFs | 
| get_l2_inner_product | Computes the L^2 inner product between two SRVFs | 
| get_l2_norm | Computes the L^2 norm of an SRVF | 
| get_shape_distance | Computes the distance between two shapes | 
| get_warping_distance | Computes the distance between two warping functions | 
| gradient | Gradient using finite differences | 
| growth_vel | Berkeley Growth Velocity Dataset | 
| horizFPCA | Horizontal Functional Principal Component Analysis | 
| h_to_gam | map shooting vector to warping function at identity | 
| im | Example Image Data set | 
| invertGamma | Invert Warping Function | 
| inv_exp_map | map square root of warping function to tangent space | 
| jointFPCA | Joint Vertical and Horizontal Functional Principal Component Analysis | 
| jointFPCAh | 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 | 
| LongRunCovMatrix | Long Run Covariance Matrix Estimation for Multivariate Time Series | 
| multiple_align_functions | Group-wise function alignment to specified mean | 
| multiple_align_multivariate | Group-wise multivariate function alignment to specified mean | 
| multivariate_karcher_cov | Curve Karcher Covariance | 
| multivariate_karcher_mean | Karcher Mean of Multivariate Functional Data | 
| multivariate_pca | Curve PCA | 
| 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 | 
| plot_curve | Plot Curve | 
| predict.curve_pca | Elastic Prediction for curve PCA | 
| predict.hfpca | Elastic Prediction for functional PCA | 
| predict.jfpca | Elastic Prediction for functional PCA | 
| predict.jfpcah | Elastic Prediction for functional PCA | 
| 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 | 
| predict.vfpca | Elastic Prediction for functional PCA | 
| psi_to_gam | map Hilbert sphere to warping function | 
| 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 | 
| rotation_pca | Rotation Principal Component Analysis | 
| sample_shapes | Sample shapes from model | 
| shape_CI | Shape Confidence Interval Calculation using Bootstrap Sampling | 
| 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 | 
| SqrtMeanInverse | SRVF transform of warping functions | 
| SqrtMedian | SRVF transform of warping functions | 
| srvf2curve | Converts from SRVF to curve representation | 
| srvf_to_f | Transformation from SRSF Space | 
| time_warping | Alignment of univariate functional data | 
| toy_data | Distributed Gaussian Peak Dataset | 
| toy_warp | Aligned Distributed Gaussian Peak Dataset | 
| to_hilbert_sphere | Projects an SRVF onto the Hilbert sphere | 
| vertFPCA | Vertical Functional Principal Component Analysis | 
| v_to_curve | map shooting vector to curve at mean | 
| v_to_gam | map shooting vector to warping function at identity | 
| warp_curve | Applies a warping function to a given curve | 
| warp_f_gamma | Warp Function | 
| warp_q_gamma | Warp SRSF | 
| warp_srvf | Applies a warping function to a given SRVF |