fit_mean_closed {elasdics} R Documentation

## Fitting function for open curves

### Description

Fits an elastic mean for open curves. Is usually called from compute_elastic_mean.

### Usage

fit_mean_closed(srv_data_curves, knots, max_iter, type, eps, pen_factor)


### Arguments

 srv_data_curves list of data.frames with srv vectors in each row. Usually a result of a call to get_srv_from_points knots set of knots for the mean spline curve max_iter maximal number of iterations type if "smooth" linear srv-splines are used which results in a differentiable mean curve eps the algorithm stops if L2 norm of coefficients changes less pen_factor penalty factor forcing the mean to be closed if "polygon" the mean will be piecewise linear.

### Value

a list with entries

 type "smooth" or "polygon" coefs coefs srv spline coefficients of the estimated mean knots spline knots t_optims optimal parametrisation shift_idxs index of the starting point of the closed curve after alignment

[Package elasdics version 0.2.0 Index]