# Decode Information from Neural Activity

## Documentation for package ‘NeuroDecodeR’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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