pmatrix

plmatrix

function depending on a matrix argument, and providing a matrix valued 
      result.

see documentation for function <code>pvec</code>

mc.cores

parellelizes the execution of a function on matrix elements
     by splitting the matrix by columns and submitting each part to one core. 
     The function must take a matrix argument, with computations depending on
     row entries. It creates a matrix with same number of columns as on input,
     but possibly different number of rows.

Diffusion Weighted Imaging (DWI) is a Magnetic Resonance
        Imaging modality, that measures diffusion of water in tissues
        like the human brain.  The package contains R-functions to
        process diffusion-weighted data. The functionality includes
        diffusion tensor imaging (DTI), structural adaptive smoothing
        in in case of (DTI) (K. Tabelow, J. Polzehl, V. Spokoiny, and
        H.U. Voss, Diffusion Tensor Imaging: Structural Adaptive
        Smoothing, Neuroimage 39(4), 1763-1773 (2008)), modeling for
        high angular resolution diffusion weighted imaging (HARDI)
        using Q-ball-reconstruction and tensor mixture models and a
        streamline fiber tracking for tensor and tensor mixture models.
        The package provides functionality to manipulate and visualize
        results in 2D and 3D.

pmatrix: Parallelize columnwise computations on a matrix using forking (generalizes function 'pvec' from package 'parallel')

Description

Usage

Arguments

Value

Details