Master index
| Master index |
Index for marsbar/@mardo_5/private |
 my_design | returns 1 if design looks like it is of SPM5 / 8 type |
| pr_estimate | Estimation of a General Linear Model |
| pr_fmri_design | MarsBaR version of spm_fMRI design - asssembles a design for fMRI studies |
| pr_fmristat_ar | function returns estimated AR coefficients using fmristat algorithm |
| pr_get_filter | gets filter using spm_fmri_spm_ui routines |
| pr_spm_cat | converts a cell array into a matrix |
| pr_spm_ce | return error covariance constraints for serially correlated data |
| pr_spm_diff | matrix high-order differentials |
| pr_spm_en | Euclidean normalization |
| pr_spm_fileparts | Like fileparts, but separates off a comma separated list at the end |
| pr_spm_filter | Removes low frequency confounds X0 |
| pr_spm_get_bf | fills in basis function structure |
| pr_spm_get_ons | returns input [designed effects] structures |
| pr_spm_gpdf | Probability Density Function (PDF) of Gamma distribution |
| pr_spm_hrf | returns a hemodynamic response function |
| pr_spm_justify | Justify text |
| pr_spm_logdet | returns the log of the determinant of positive semi-definite matrix C |
| pr_spm_non_sphericity | return error covariance constraints for basic ANOVA designs |
| pr_spm_orth | recursive orthogonalization of basis functions |
| pr_spm_q | returns an (n x n) autocorrelation matrix for an AR(p) process |
| pr_spm_reml | ReML estimation of covariance components from y*y' |
| pr_spm_select | File selector |
| pr_spm_svd | computationally efficient SVD (that can handle sparse arguments) |
| pr_spm_ui | MarsBaR: Setting up the general linear model for independent data |
| pr_spm_unvec | unvectorises a vectorised array |
| pr_spm_vec | vectorises a numeric, cell or structure array |
| pr_spm_volterra | generalized convolution of inputs (U) with basis set (bf) |
| pr_stat_compute | private function to compute statistics for SPM2 design |
| pr_stat_compute_mv | private function to compute mutlivariate statistics across ROIs |