fit_mean_closed: Fitting function for open curves
In elasdics: Elastic Analysis of Sparse, Dense and Irregular Curves

fit_mean_closed

R Documentation

Fitting function for open curves

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

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

`srv_data_curves`	list of `data.frame`s 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.

a list with entries

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