| csmf.nbc | Calculate predicted CSMFs from a NBC model |
| internalCheckNBC | Check arguments for nbc() |
| internalCheckNBCSummary | Check arguments for summary.nbc() |
| internalGetCauseMetrics | Calculate performance metrics table per cause |
| internalGetCSMFAcc | Calculate CSMF accuracy |
| internalGetCSMFMaxError | Calculate CSMF maximum error |
| internalGetMetrics | Calculate overall performance metrics |
| internalNBC | NBC algorithm source code |
| internalRoundFixedSum | Round values to whole numbers while preserving the sum |
| internalSubAsRest | Substitute values in a dataframe proportionally to all other... |
| nbc | Train a NBC model |
| nbc4va | nbc4va: Bayes Classifier for Verbal Autopsy Data |
| nbc4vaData | Example of clean data in nbc4va |
| nbc4vaDataRaw | Example of unclean data in nbc4va |
| nbc4vaGUI | Web-based graphical user interface in nbc4va |
| nbc4vaIO | Run nbc4va using file input and output |
| ova2nbc | Translate open verbal autopsy arguments to train a NBC model |
| plot.nbc | Bar plot of top predicted causes from a NBC model |
| print.nbc_summary | Print top predicted causes from a NBC model |
| summary.nbc | Summarize a NBC model with metrics |
| topCOD.nbc | Cause of death predictions from a NBC model |
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