Elastic Functional Data Analysis
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Documentation for package ‘fdasrvf’ version 2.3.1
Help Pages
| 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_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 | 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_v | map warping function to tangent space at identity |
| gauss_model | Gaussian model of functional data |
| 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_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 |
| 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 |
| 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 |
| multivariate_karcher_mean | Karcher Mean of Multivariate Functional Data |
| 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.hfpca | Elastic Prediction for functional PCA |
| predict.jfpca | 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 |
| 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 |
| 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_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 |