 spm_contrasts | Fills in SPM.xCon and writes con_????.img and SPM?_????.img |
| spm_digamma | function [y] = spm_digamma(x)  |
| spm_getSPM | computes a specified and thresholded SPM/PPM following parameter estimation |
| spm_graph | Graphical display of adjusted data |
| spm_kl_gamma | KL divergence for Gamma densities |
| spm_spm_Bayes | Conditional parameter estimation of a General Linear Model |
| spm_spm_vb | VB estimation of voxel-specific GLM-AR models with spatial regularisation |
| spm_vb_F | Compute lower bound on evidence, F, for VB GLMAR models |
| spm_vb_a | Update AR coefficients in VB GLM-AR model |
| spm_vb_alpha | Variational Bayes for GLM-AR models - Update alpha |
| spm_vb_beta | Variational Bayes for GLM-AR modelling in a slice - Update beta |
| spm_vb_gamma | Variational Bayes for GLMAR model - Update gamma |
| spm_vb_geom | Create GMRF spatial precision matrix with geometric boundary conditions |
| spm_vb_get_Ab | Get A and b quantities - average prediction errors from AR model |
| spm_vb_get_Gn | Compute Gn for VB GLMAR modelling |
| spm_vb_get_R | Get posterior correlation matrix for regression coefficients |
| spm_vb_glmar | Variational Bayes for GLM-AR modelling in a slice of fMRI |
| spm_vb_init_slice | Initialise Variational Bayes for GLM-AR models |
| spm_vb_init_volume | Initialise generic aspects of slice structure for VB GLMAR models |
| spm_vb_lambda | Variational Bayes for GLM-AR models - Update lambda |
| spm_vb_laplacian | Create spatial Laplacian matrix for a slice of data |
| spm_vb_neighbors | Create list of neighbors of voxels to be analysed |
| spm_vb_set_priors | Set up precision parameters and optimisation options to correspond to priors |
| spm_vb_taylor_R | Get Taylor sereis approximation to posterior correlation matrices - see paper VB3 |
| spm_vb_w | Variational Bayes for GLM-AR modelling in a slice - update w |
Master index