Man pages for emeyers/NeuroDecodeR
Decode Information from Neural Activity
| aggregate_CV_split_results | A result metric (RM) method to aggregate results over... |
| aggregate_CV_split_results.rm_confusion_matrix | A result metric (RM) method to aggregate results over... |
| aggregate_CV_split_results.rm_main_results | A result metric (RM) method to aggregate results over... |
| aggregate_resample_run_results | A result metric (RM) method to aggregate results over... |
| aggregate_resample_run_results.rm_confusion_matrix | A result metric (RM) method to aggregate results over... |
| aggregate_resample_run_results.rm_main_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_data.ds_basic | A datasource (DS) method to generate training and test sets |
| get_data.ds_generalization | A datasource (DS) method to generate training and test sets |
| get_num_label_repetitions | Get the number of sites have at least k trials of each label... |
| get_num_label_repetitions_each_site | Get the number of trial repetitions for a given label for... |
| get_parameters | Get parameters of an NeuroDecodeR object |
| get_parameters.cl_max_correlation | Get parameters of an NeuroDecodeR object |
| get_parameters.cl_poisson_naive_bayes | Get parameters of an NeuroDecodeR object |
| get_parameters.cl_svm | Get parameters of an NeuroDecodeR object |
| get_parameters.cv_standard | Get parameters of an NeuroDecodeR object |
| get_parameters.ds_basic | Get parameters of an NeuroDecodeR object |
| get_parameters.ds_generalization | Get parameters of an NeuroDecodeR object |
| get_parameters.fp_select_k_features | Get parameters of an NeuroDecodeR object |
| get_parameters.fp_zscore | Get parameters of an NeuroDecodeR object |
| get_parameters.rm_confusion_matrix | Get parameters of an NeuroDecodeR object |
| get_parameters.rm_main_results | Get parameters of an NeuroDecodeR object |
| get_predictions | A classifier (CL) method to train the CL and return... |
| get_predictions.cl_max_correlation | A classifier (CL) method to train the CL and return... |
| get_predictions.cl_poisson_naive_bayes | A classifier (CL) method to train the CL and return... |
| get_predictions.cl_svm | A classifier (CL) method to train the CL and return... |
| get_siteIDs_with_k_label_repetitions | Get the sitesIDs that have at least k trials for all label... |
| 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... |
| NeuroDecodeR | NeuroDecodeR: A package for neural decoding analyses |
| plot.label_repetition | A plot function for label_repetition object |
| plot_main_results | A plot function to plot multiple rm_main_results |
| 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... |
| preprocess_data.fp_select_k_features | A feature-preprocessor (FP) method to pre-process training... |
| preprocess_data.fp_zscore | A feature-preprocessor (FP) method to pre-process training... |
| read_matlab_raster_data | Reads MATLAB raster data |
| read_raster_data | Read a csv, rda, rds or mat file in raster format |
| 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 |
| run_decoding.cv_standard | A cross-validator (CV) method to run a decoding analysis |
| test_valid_binned_format | Tests if a data frame is in valid binned format |
| test_valid_ndr_object | Tests if an object is a valid NDR object |
| test_valid_raster_format | Tests if a data frame is in valid raster format |
