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 different but related labels |
fp_select_k_features |
A feature preprocessor (FP) that reduces data to the k most selective features |
fp_zscore |
A feature preprocessor (FP) that z-score normalizes the data |
get_num_label_repetitions |
Get the number of sites have at least k trials of each label level |
get_num_label_repetitions_each_site |
Get the number of trial repetitions for a given label for each site |
get_parameters.cv_standard |
Get parameters of an NeuroDecodeR object |
get_siteIDs_with_k_label_repetitions |
Get the sitesIDs that have at least k trials for all label level |
log_check_results_already_exist |
A function that checks if a decoding analysis has already been run |
log_load_results_from_params |
A function that loads DECODING_RESULTS based on decoding_parameters |
log_load_results_from_result_name |
A function that loads DECODING_RESULTS based on the result_name |
log_save_results |
Saves the DECODING_RESULTS and logs the parameters used in the analysis |
plot.label_repetition |
A plot function for label_repetition object |
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 |
plot_main_results |
A plot function to plot multiple rm_main_results |
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 measures |
run_decoding.cv_standard |
A cross-validator (CV) method to run a decoding analysis |
test_valid_raster_format |
Tests if a data frame is in valid raster format |