Elastic Analysis of Sparse, Dense and Irregular Curves

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Documentation for package ‘elasdics’ version 1.1.3

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align_curves Align two curves measured at discrete points
center_curve Centers curves for plotting
compute_elastic_mean Compute a elastic mean for a collection of curves
elasdics elasdics: *el*astic *a*nalysis of *s*parse, *d*ense and *i*rregular *c*urve*s*.
find_optimal_t Optimal alignment to a smooth curve
find_optimal_t_discrete Finds optimal alignment for discrete open curves
find_optimal_t_discrete_closed Finds optimal alignment for discrete closed curves
fit_elastic_regression Compute a elastic mean for a collection of curves
fit_mean Fitting function for open curves
fit_mean_closed Fitting function for open curves
get_arc_length_param Helper functions for curve data measured at discrete points
get_evals Evaluate a curve on a grid
get_evals.data.frame Evaluate a curve on a grid
get_evals.elastic_mean Evaluate a curve on a grid
get_points_from_srv Helper functions for curve data measured at discrete points
get_srv_from_points Helper functions for curve data measured at discrete points
optimise_one_coord_analytic Does optimization in one parameter direction
optimise_one_coord_analytic_closed Does optimization in one parameter direction
plot.aligned_curves Plot method for aligned curves
plot.elastic_mean Plot method for planar elastic mean curves
plot.elastic_reg_model Plot method for planar elastic regression models
predict.elastic_reg_model Predict method for elastic regression models
project_curve_on_closed Close open curve via projection on derivative level.
srvf_to_curve Re-transform srv curve back to curve