pronto | Function launching PRoNTo (Pattern Recognition for Neuroimaging Toolbox), |
prt | Pattern Recognition for Neuroimaging Toolbox, PRoNTo. |
prt_apply_operation | function to apply a data operation to the training, test and |
prt_batch | Pattern Recognition for Neuroimaging Toolbox, PRoNTo. |
prt_build_region_weights | |
prt_check | Function to automatically test PRoNTo's integrity |
prt_check_design | FORMAT [conds] = prt_check_design(cond,tr,units,hrfoverlap) |
prt_check_flag | FORMAT flags = prt_check_flag(flags_o,flags) |
prt_comp_ranking_dist | Function to compute the distance between two ranking vectors, as detailed |
prt_compute_cv_mat | Function to compute the cross-validation matrix. Also does error checking |
prt_compute_weights | FORMAT prt_compute_weights(PRT,in) |
prt_compute_weights_class | FORMAT prt_compute_weights_class(PRT,in,model_idx) |
prt_compute_weights_regre | FORMAT prt_compute_weights_regre(PRT,in,model_idx) |
prt_contents | Pattern Recognition for Neuroimaging Toolbox, aka. PRoNTo |
prt_cv_fold | Function to run a single cross-validation fold |
prt_cv_model | Function to run a cross-validation structure on a given model |
prt_cv_opt_param | Function to pass optional (advanced) parameters into the classifier. |
prt_data_conditions | PRT_DATA_CONDITIONS M-file for prt_data_conditions.fig |
prt_data_modality | PRT_DATA_MODALITY M-file for prt_data_modality.fig |
prt_data_review | PRT_DATA_REVIEW M-file for prt_data_review.fig |
prt_defaults | Sets the defaults which are used by the Pattern Recognition for |
prt_fs | Function to build file arrays containing the (linearly detrended) data |
prt_fs_modality | Function to build file arrays containing the (linearly detrended) data |
prt_func2html | Script to generate the list of .m functions into html files |
prt_getKernelModel | Function to load the kernels according to the samples considered in a |
prt_get_defaults | Get/set the defaults values associated with an identifier |
prt_get_filename | out = prt_get_filename(ids) |
prt_init_fs | function to initialise the kernel data structure |
prt_init_model | function to initialise the model data structure |
prt_latex | |
prt_load | Function to load the PRT.mat and check its integrity regarding the |
prt_load_blocks | Load one or more blocks of data. |
prt_model | Function to configure and build the PRT.model data structure |
prt_nested_cv | Function to perform the nested CV |
prt_permutation | Function to compute permutation test |
prt_plot_ROC | FORMAT prt_plot_ROC(PRT, model, fold, axes_handle) |
prt_plot_confusion_matrix | FORMAT prt_plot_confusion_matrix(PRT, model, fold, axes_handle) |
prt_plot_histograms | FORMAT prt_plot_histograms(PRT, model, fold, axes_handle) |
prt_plot_nested_cv | FORMAT prt_plot_nested_cv(PRT, model, fold, axes_handle) |
prt_plot_prediction | FORMAT prt_plot_prediction(PRT, model, fold, marker_size, axes_handle) |
prt_plot_prediction_reg_bar | FORMAT prt_plot_prediction_reg_bar(PRT, model, axes_handle) |
prt_plot_prediction_reg_line | FORMAT prt_plot_prediction_reg_line(PRT, model, axes_handle) |
prt_plot_prediction_reg_scatter | FORMAT prt_plot_prediction_reg_scatter(PRT, model, axes_handle) |
prt_region_histogram | % L1-HISTOGRAM |
prt_remove_confounds | [Kr, R] = prt_remove_confounds(K,C) |
prt_stats | Function to compute predictions machine performance statistcs statistics |
prt_struct | % Function to load the PRT.mat and check its integrity regarding the |
prt_struct2latex | Function that takes in a structure S and writes down the latex code |
prt_text_input | PRT_TEXT_INPUT M-file for prt_text_input.fig |
prt_ui_compute_weights | PRT_UI_COMPUTE_WEIGHTS M-file for prt_ui_compute_weights.fig |
prt_ui_custom_CV | PRT_UI_CUSTOM_CV M-file for prt_ui_custom_CV.fig |
prt_ui_cv_model | PRT_UI_CV_MODEL M-file for prt_ui_cv_model.fig |
prt_ui_design | PRT_UI_DESIGN M-file for prt_ui_design.fig |
prt_ui_disp_weights | PRT_UI_DISP_WEIGHTS MATLAB code for prt_ui_disp_weights.fig |
prt_ui_kernel_construction | PRT_UI_KERNEL MATLAB code for prt_ui_kernel.fig |
prt_ui_main | PRT_UI_MAIN M-file for prt_ui_main.fig |
prt_ui_model | PRT_UI_KERNEL_CONSTRUCTION M-file for prt_ui_kernel_construction.fig |
prt_ui_prepare_data | PRT_UI_KERNEL MATLAB code for prt_ui_kernel.fig |
prt_ui_prepare_datamod | PRT_UI_KERNEL_MODALITY M-file for prt_ui_kernel_modality.fig |
prt_ui_results | PRT_UI_RESULTS MATLAB code for prt_ui_results.fig |
prt_ui_results_ROI | PRT_UI_RESULTS_ROI M-file for prt_ui_results_ROI.fig |
prt_ui_results_help | PRT_UI_RESULTS_HELP MATLAB code for prt_ui_results_help.fig |
prt_ui_results_stats | PRT_UI_RESULTS_STATS MATLAB code for prt_ui_results_stats.fig |
prt_ui_reviewCV | PRT_UI_REVIEWCV M-file for prt_ui_reviewCV.fig |
prt_ui_reviewmodel | PRT_UI_REVIEWMODEL M-file for prt_ui_reviewmodel.fig |
prt_ui_select_class | PRT_UI_SELECT_CLASS M-file for prt_ui_select_class.fig |
prt_ui_select_reg | PRT_UI_SELECT_REG M-file for prt_ui_select_reg.fig |
prt_ui_specify_CV_basis | PRT_UI_SPECIFY_CV_BASIS M-file for prt_ui_specify_CV_basis.fig |
prt_ui_stats | PRT_UI_STATS MATLAB code for prt_ui_stats.fig |
prt_ui_sure | PRT_UI_SURE M-file for prt_ui_sure.fig |