sfMM-calcPotts_cpp: Iterated conditional means for spatial regularization
In bozenne/MRIaggr: Management, Display, and Processing of Medical Imaging Data

Description Usage Arguments See Also

C++ function that performs spatial regularization of probabilistic group membership using Iterated Conditional Means. For internal use.

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calcPotts_cpp(W_SR, W_LR, sample, rho, coords, site_order, iter_max, cv_criterion, 
         test_regional, distance_ref, threshold, neutre, nbGroup_min, multiV,
	     last_vs_others, prior, type_reg, verbose)

`W_SR`	the local neighborhood matrix. dgCMatrix. Should be normalized by row (i.e. `rowSums(W_SR)=1`).
`W_LR`	the regional neighborhood matrix. dgCMatrix. Should contain the distances between the observations (`0` indicating infinite distance).
`sample`	the initial group probability membership. numeric vector.
`rho`	the value of the spatial regularisation parameters. numeric vector.
`coords`	the voxel coordinates. matrix.
`site_order`	a specific order to go all over the sites. integer vector.
`iter_max`	the maximum number of iterations. integer.
`cv_criterion`	the convergence criterion. numeric.
`test_regional`	should regional regularisation be used. logical.
`distance_ref`	the distance defining the several neighborhood orders relatively to `W_LR`. numeric vector.
`threshold`	the minimum value to consider non-negligible group membership. numeric.
`neutre`	the value to which the regional potential is set when the group is too small to compute it. numeric.
`nbGroup_min`	the minimum group size of the spatial groups required for performing regional regularization. integer.
`multiV`	should the regional potential range be specific to each spatial group ? logical.
`last_vs_others`	should the regional potential be computed for each class or only for the last versus the others ? logical.
`type_reg`	the type image to regularize : continuous or categorical ? logical.
`prior`	should the `sample` values be used as a prior ? logical.
`verbose`	should the running be be traced over iterations ? logical. 1 to display each iteration and 2 to display convergence diagnostics.