Man pages for emeyers/NDTr
The Neural Decoding Toolbox in R
| aggregate_CV_split_results | A result metric (RM) method to aggregate results over... |
| aggregate_resample_run_results | A result metric (RM) method to aggregate results over... |
| cl_max_correlation | A maximum correlation coefficient classifier (CL) |
| cl_poisson_naive_bayes | A Poisson Naive Bayes classifier (CL) |
| cl_svm | A support vector machine classifier (CL) |
| convert_matlab_raster_data | Convert raster data in MATLAB to R |
| create_binned_data | Convert data from raster format to binned format |
| cv_standard | The standard cross-validator (CV) |
| ds_basic | A basic datasource (DS) |
| ds_generalization | A datasource (DS) that allows training and testing on... |
| fp_select_k_features | A feature preprocessor (FP) that reduces data to the k most... |
| fp_zscore | A feature preprocessor (FP) that z-score normalizes the data |
| get_data | A datasource (DS) method to generate training and test sets |
| get_num_label_repetitions | Get the number of trial repetitions for a given label |
| get_parameters | Get parameters of an NDTr object |
| get_predictions | A classifier (CL) method to train the CL and returns... |
| log_check_results_already_exist | A function that checks if a decoding analysis has already... |
| log_load_results_from_params | A function that loads DECODING_RESULTS based on... |
| log_load_results_from_result_name | A function that loads DECODING_RESULTS based on the... |
| log_save_results | Saves the DECODING_RESULTS and logs the parameters used in... |
| NDTr | NDTr: A package for neural decoding analyses |
| plot.raster_data | A plot function for data in raster format |
| plot.rm_confusion_matrix | A plot function for the rm_confusion_matrix object |
| plot.rm_main_results | A plot function for the rm_main_results object |
| preprocess_data | A feature-preprocessor (FP) method to pre-process training... |
| rm_confusion_matrix | A result metric (RM) that calculates confusion matrices |
| rm_main_results | A result metric (RM) that calculates main decoding accuracy... |
| run_decoding | A cross-validator (CV) method to run a decoding analysis |
| test_valid_raster_format | Tests if a data frame is in valid raster format |
