Package: NeuroDecodeR 0.2.0

NeuroDecodeR: Decode Information from Neural Activity

Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. 'NeuroDecodeR' is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.

Authors:Ethan Meyers [aut, cre]

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NeuroDecodeR.pdf |NeuroDecodeR.html✨
NeuroDecodeR/json (API)

Peer review:

Bug tracker:https://github.com/emeyers/neurodecoder/issues

On CRAN:

30 exports 12 stars 2.06 score 51 dependencies 16 scripts 165 downloads

Last updated 6 months agofrom:826e2119a6. Checks:OK: 7. Indexed: yes.

Exports:aggregate_CV_split_resultsaggregate_resample_run_resultscl_max_correlationcl_poisson_naive_bayescl_svmconvert_matlab_raster_datacreate_binned_datacv_standardds_basicds_generalizationfp_select_k_featuresfp_zscoreget_dataget_num_label_repetitionsget_parametersget_predictionsget_siteIDs_with_k_label_repetitionslog_check_results_already_existlog_load_results_from_paramslog_load_results_from_result_namelog_save_resultsplot_main_resultspreprocess_dataread_matlab_raster_dataread_raster_datarm_confusion_matrixrm_main_resultsrun_decodingtest_valid_ndr_objecttest_valid_raster_format

Dependencies:classclicodetoolscolorspacecpp11doSNOWdplyre1071fansifarverforcatsforeachgenericsggplot2gluegridExtragtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxypurrrR.matlabR.methodsS3R.ooR.utilsR6RColorBrewerrlangscalessnowstringistringrtibbletictoctidyrtidyselectutf8vctrsviridisLitewithr