fit_mean  R Documentation 
Fits an elastic full Procrustes mean for open, planar curves.
Is usually called from compute_elastic_shape_mean
.
fit_mean(
srv_data_curves,
knots,
penalty,
var_type,
pfit_method,
max_iter,
type,
eps,
cluster,
verbose,
smooth_warp
)
srv_data_curves 
list of 
knots 
set of knots for the mean spline curve 
penalty 
the penalty to use in the covariance smoothing step. use '1' for no penalty. 
var_type 
(experimental) assume "smooth", "constant" or "zero" measurementerror variance along t 
pfit_method 
(experimental) "smooth" or "polygon" 
max_iter 
maximal number of iterations 
type 
if "smooth" linear srvsplines are used which results in a differentiable mean curve if "polygon" the mean will be piecewise linear. 
eps 
the algorithm stops if L2 norm of coefficients changes less 
cluster 
a cluster object for use in the 
verbose 
print iterations 
smooth_warp 
(experimental) controls the weighting of original and smoothed observations over the iterations, if pfit_method == "smooth". 
a list
with entries
type 
"smooth" or "polygon" 
coefs 

knots 
spline knots 
penalty 
penalty used in the covariance estimation 
distances 
distances to mean 
fit 
a 
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