GaussSmoothKernel        package:AnalyzeFMRI        R Documentation

_C_a_l_c_u_l_a_t_e_s _a _d_i_s_c_r_e_t_e _G_a_u_s_s_i_a_n _s_m_o_o_t_h_i_n_g _k_e_r_n_e_l.

_D_e_s_c_r_i_p_t_i_o_n:

     Calculates a simple, discrete Gaussian smoothing kernel of a
     specfic size given the covariance matrix of the Gaussian.

_U_s_a_g_e:

     GaussSmoothKernel(voxdim=c(1, 1, 1), ksize=5, sigma=diag(3, 3))

_A_r_g_u_m_e_n_t_s:

  voxdim: Dimensions of each voxel.

   ksize: Dimensions of the discrete kernel size.

   sigma: The covariance matrix of the Gaussian kernel.

_V_a_l_u_e:

     An array of dimension (ksize,ksize,ksize) containing the smoothing
     kernel.

_A_u_t_h_o_r(_s):

     J. L. Marchini

_E_x_a_m_p_l_e_s:

     a <- GaussSmoothKernel(voxdim=c(1,1,1), ksize=5, sigma=diag(1,3))

